inst/shiny/guiApp/ui.R
In LBNL-ETA/RMV2.0: M&V2.0 Using R and Shiny
#-------------------------------------------------------------------------------
# RMV2.0 (version 1.1.0)
# LBNL MV 2.0 Toolbox
# Samir Touzani, PhD
#-------------------------------------------------------------------------------
#===============================================================================
# SHINY_UI #
#===============================================================================
dashboardPage(skin = "red",
dashboardHeader(title = "RM&V 2.0"),
dashboardSidebar(
conditionalPanel(condition = " input.next_init_1 == 0",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 1 &&
input.new_init == 1",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("___ Screening Analysis ___",
tabName = "screening",
icon = icon("paint-brush "),
conditionalPanel(condition = "input.next_init_sc",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sc"),
menuSubItem("Train Baseline Models",
icon = icon("gears"),
tabName = "trainModels_sc")
),
conditionalPanel(condition = "input.Train_go_sc",
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sc"),
## ----- Deprecated -----
## exclude the uncertainty calculation
# menuSubItem("Uncertainty Estimation",
# icon = icon("stats", lib = "glyphicon"),
# tabName = "uncertEstimation_sc"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sc"),
uiOutput("save_pred_sc_Ui")
),
startExpanded = T
),
uiOutput("save_sc_Ui"),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 1 &&
input.new_init == 2",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("___ Screening Analysis ___",
tabName = "screening_lo",
icon = icon("paint-brush "),
conditionalPanel(condition = "input.next_init_sc_lo",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sc"),
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sc"),
## ----- Deprecated -----
## exclude the uncertainty calculation
# menuSubItem("Uncertainty Estimation",
# icon = icon("stats", lib = "glyphicon"),
# tabName = "uncertEstimation_sc"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sc")
),
startExpanded = T
),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 2 &&
input.new_init == 1",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("____ Savings Analysis ____",
tabName = "savings",
icon = icon("leaf"),
conditionalPanel(condition = "input.next_init_sav",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sav"),
menuSubItem("Train Baseline Models",
icon = icon("gears"),
tabName = "trainModels_sav")
),
conditionalPanel(condition = "input.Train_go_sav",
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sav"),
menuSubItem("Savings Estimations",
icon = icon("stats", lib = "glyphicon"),
tabName = "savAnalysis_sav")
),
# menuSubItem("Savings & CUSUM",
# icon = icon("line-chart"),
# tabName = "visSavAnalysis_sav"),
conditionalPanel(condition = "input.sav_est_go",
menuSubItem("Non Routine Events",
icon = icon("line-chart"),
tabName = "nrEvents_sav"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sav")
),
conditionalPanel(condition = "input.Train_go_sav",
uiOutput("save_pred_sav_Ui")
),
startExpanded = T
),
uiOutput("save_sav_Ui"),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 2 &&
input.new_init == 2",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("____ Savings Analysis ____",
tabName = "savings_lo",
icon = icon("leaf"),
conditionalPanel(condition = "input.next_init_sav_lo",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sav"),
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sav"),
menuSubItem("Savings Estimations",
icon = icon("stats", lib = "glyphicon"),
tabName = "savAnalysis_sav")
),
# menuSubItem("Savings & CUSUM",
# icon = icon("line-chart"),
# tabName = "visSavAnalysis_sav"),
conditionalPanel(condition = "input.sav_est_go",
menuSubItem("Non Routine Events",
icon = icon("line-chart"),
tabName = "nrEvents_sav_lo"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sav")
),
startExpanded = T
),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
)#end conditional panel
),#end of dashboardSidebar
dashboardBody(
useShinyjs(),
extendShinyjs(text = jscode, functions = c("warningBox","successBox")),
tabItems(
tabItem(tabName = "home",
fluidPage(title = "Home",
fluidRow(
div(img(src='logo.svg'),style="text-align: center;")
)# end of fluidRow
)# end of fluidPage
),#end of tabItem
tabItem(tabName = "help",
fluidPage(title = "Help",
#fluidRow(
column(width = 2),
column(width = 8,
box(title = "",
width = 12,
solidHeader = F,
status = "info",
includeMarkdown(system.file("shiny/guiApp/www", "User_Guide.md", package = "RMV2.0"))
#htmltools::tags$iframe(src = 'User_Guide.html', width = '100%',height = '1000px')
)#end box
),#end column
column(width = 2)
#)# end of fluidRow
)# end of fluidPage
),#end of tabItem
#===============================================================================
# Initialization #
#===============================================================================
tabItem(tabName = "initialization",
fluidPage(title = "initialization",
fluidRow(
column(width = 3,
box(title = "Project Type",
width = 12,
solidHeader = T,
status = "info",
box(title = "Select the project type",
width = 12,
solidHeader = F,
status ="info",
radioButtons("type_init",
label = h3(""),
choices = list("Screening" = 1,
"Savings Analysis" = 2),
selected = 1),
radioButtons("new_init",
label = h3(""),
choices = list("Create a New Project" = 1,
"Open an Existing Project" = 2),
selected = 1)
),#end of box
column(width = 12,
conditionalPanel(condition = "input.next_init_1 == 0",
actionButton("next_init_1",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end conditionalPanel
)#end of column
)# end of box
),# end of column
conditionalPanel(condition = "input.next_init_1 && input.type_init == 1 && input.new_init == 1",
column(width = 4,
box(title = "Screening Mode",
width = 12,
solidHeader = T,
status = "info",
box(title = "Project Name",
width = 12,
solidHeader =F,
status ="info",
textInput("p_name_sc",
label = NULL,
value = paste0("Project_",
format(Sys.time(), "%m.%d")))
),#end of box
box(id = "save_dir_sc_box",
title = "Select the directory where the results will be saved",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("save_dir_sc",
"Browse",
"Browse")
),
column(8,
textOutput("save_dir_sc_out"),
tags$style(type='text/css',
"#save_dir_sc_out { width:100%; margin-top: 5px;}")
)
),#end of box
box(id = "pre_dir_sc_box",
title = "Select pre-installation data directory",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("pre_dir_sc",
"Browse",
"Browse")
),
column(8,
textOutput("pre_dir_sc_out"),
tags$style(type='text/css',
"#pre_dir_sc_out { width:100%; margin-top: 5px;}")
)
),#end of box
conditionalPanel(
"output.fields_sc_new",
column(width = 12,
actionButton("next_init_sc",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sc",width = 12)
)#end of column
),# end of conditionalPanel
conditionalPanel(condition = "input.next_init_1 && input.type_init == 1 && input.new_init == 2",
column(width = 4,
box(title = "Screening Mode",
width = 12,
solidHeader = T,
status = "info",
box(id = "load_sc_box",
title = "Choose the project file",
width = 12,
solidHeader =F,
status = "warning",
column(4,
shinyFilesButton("load_sc",
"Browse",
"Browse",
multiple=F)
),
column(8,
textOutput("load_sc_out"),
tags$style(type='text/css',
"#load_sc_out { width:100%; margin-top: 5px;}")
)
),#end of box
conditionalPanel(
"output.fields_sc_load",
column(width = 12,
actionButton("next_init_sc_lo",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)#end of cp
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sc_lo",width = 12)
)#end of column
),# end of conditionalPanel
conditionalPanel(condition = "input.next_init_1 && input.type_init == 2 && input.new_init == 1",
column(width = 4,
box(title = "Savings Analysis Mode",
width = 12,
solidHeader = T,
status = "info",
box(title = "Project Name",
width = 12,
solidHeader =F,
status ="info",
textInput("p_name_sav",
label = NULL,
value = paste0("Project_",
format(Sys.time(), "%m.%d")))
),#end of box
box(id = "save_dir_sav_box",
title = "Select the directory where the results will be saved",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("save_dir_sav",
"Browse",
"Browse")
),
column(8,
textOutput("save_dir_sav_out"),
tags$style(type='text/css',
"#save_dir_sav_out { width:100%; margin-top: 5px;}")
)
),#end of box
box(id = "pre_dir_sav_box",
title = "Select pre-installation data directory",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("pre_dir_sav",
"Browse",
"Browse")
),
column(8,
textOutput("pre_dir_sav_out"),
tags$style(type='text/css',
"#pre_dir_sav_out { width:100%; margin-top: 5px;}")
)
),#end of box
box(id = "post_dir_sav_box",
title = "Select post-installation data directory",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("post_dir_sav",
"Browse",
"Browse")
),
column(8,
textOutput("post_dir_sav_out"),
tags$style(type='text/css',
"#post_dir_sav_out { width:100%; margin-top: 5px;}")
)
#br(),
#tags$b(textOutput("post_dir_sav"))
),#end of box
conditionalPanel(
"output.fields_sav_new",
column(width = 12,
actionButton("next_init_sav",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)#end of cp
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sav",width = 12)
)#end of column
),# end of conditionalPanel
conditionalPanel(condition = "input.next_init_1 && input.type_init == 2 && input.new_init == 2",
column(width = 4,
box(title = "Savings Analysis Mode",
width = 12,
solidHeader = T,
status = "info",
box(id = "load_sav_box",
title = "Choose the project file",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyFilesButton("load_sav",
"Browse",
"Browse", multiple=F)
),
column(8,
textOutput("load_sav_out"),
tags$style(type='text/css',
"#load_sav_out { width:100%; margin-top: 5px;}")
)
),#end of box
conditionalPanel(
"output.fields_sav_load",
column(width = 12,
actionButton("next_init_sav_lo",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)#end of cp
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sav_lo",width = 12)
)#end of column
)# end of conditionalPanel
)# end of fluidRow
)# end of fluidPage
),#end of tabItem
#===============================================================================
# Screening #
#===============================================================================
tabItem(tabName = "visuProject_sc",
fluidPage(
conditionalPanel("input.next_init_sc || input.next_init_sc_lo",
fluidRow(
column(width = 8,
box(title = "Pre-Installation data summary",
width =12,
solidHeader = T,
status = "info",
dataTableOutput("pre_summary_tab_sc"),
downloadButton("pre_summary_tab_sc_dl", "Download")
)# end of box
)#end of column
),# end of fluidrow
fluidRow(
column(width = 12,
box(title = "Pre-Installation data plots",
width = 12,
solidHeader = T,
status = "info",
box(title = "Choose Data to Visualize",
width =3,
solidHeader = F,
status = "info",
selectInput('Data_vis_sc', 'Data', ""),
actionButton("pre_plot_go_sc",
label = "Plot",
width ="100%")
),# end of box
conditionalPanel(condition = "input.pre_plot_go_sc",
tabBox(title = tagList(shiny::icon("line-chart"), ""),
width = 9,
tabPanel("Time Series Pre-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_pre_sc")
),#end of tabPanel
tabPanel("Scatter plot eload Vs. input",
width =6,
solidHeader = F,
status = "info",
uiOutput('radio_plot_pre_sc'),
plotOutput("scatter_plot_pre_sc")
),#end of tabPanel
tabPanel("Heatmap",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_pre_sc",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)#end of box
)#end of column
)#end of fluidRow
)#end of conditionalPanel
)# end of fluidPage
),#end of tabItem
tabItem(tabName = "trainModels_sc",
fluidPage(
conditionalPanel(condition = "input.next_init_sc",
fluidRow(
column(width = 12,
box(title = "Model Set Up",
width = 12,
solidHeader = F,
status = "info",
box(title = "Select the Baseline Model",
width =3,
solidHeader = T,
status = "info",
selectInput('Model_sc',
'Model',
c("TOWT","GBM")),
conditionalPanel(condition = "input.Model_sc == 'GBM'",
radioButtons("d_off_GBM_sc",
"Include Days Off as independent variable:",
c("No" = "no_sc",
"Default US Holidays
(from 2006 to 2018)" = "def_d_off_sc",
"Select a new Days Off file" = "yes_sc")),
conditionalPanel(condition = "input.d_off_GBM_sc == 'yes_sc'",
fileInput("d_off_path_sc",
"Choose Days Off CSV File",
accept = ".csv")
)# end of conditionalPanel
),# end of conditionalPanel
actionButton("Train_go_sc",
label = "Train the Baseline Models",
width ="100%")
),# end of box
box(title = "Baseline Model Description",
width = 5,
solidHeader = F,
status = "info",
h3(textOutput("Model_Name_sc")),
textOutput("Model_Desc_sc")
),#end of box
conditionalPanel(condition = "input.Model_sc == 'TOWT'",
box(title = "TOWT Hyper-parameter Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("timescaleDays_sc",
"timescale for weighting function (in days):",
min = 1,
max = 90,
value = 15,
step = 1)
)#end of box
),# end of conditionalPanel
conditionalPanel(condition = "input.Model_sc == 'GBM'",
box(title = "GBM Hyper-parameters Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("ncores_sc",
"number of cores (parallelization):",
min = 1,
max = parallel::detectCores(logical =F),
value = parallel::detectCores(logical =F),
step = 1),
sliderInput("kfolds_sc",
"number of cross validations (k-folds):",
min = 3, max = 10,
value = 5, step = 1),
sliderInput("gbm_iter_sc",
"number of GBM iterations:",
min = 50, max = 1000,
value = c(50,500), step = 50),
sliderInput("depth_sc",
"depth of trees:",
min = 1, max = 10,
value = c(3,7), step = 1),
checkboxGroupInput("lr_sc",
"Choose the learning rates:",
choices = c("0.5" = "0.5",
"0.1" = "0.1",
"0.05" = "0.05",
"0.01" = "0.01",
"0.005" = "0.005",
"0.001" = "0.001"),
selected = "0.05")
)#end of box
)# end of conditionalPanel
)#end of box
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("trainEndBox_sc",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
)# end of fluidRow
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "resBaseline_sc",
fluidPage(
conditionalPanel(condition = "input.Train_go_sc || input.next_init_sc_lo",
column(width = 6,
box(title = "Goodness of Fit",
width = 12,
solidHeader = T,
status = "info",
dataTableOutput("model_metrics_tab_sc"),
downloadButton("model_metrics_tab_sc_dl", "Download")
)#end of box
),#end of column
column(width = 3,
box(title = " Screening Thresholds",
width =12,
solidHeader = T,
status = "info",
numericInput("R2_tresh_sc",
"R2 (in %)",
65, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("CVRMSE_tresh_sc",
"CVRMSE (in %)",
25, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("NMBE_tresh_sc",
"NMBE (in %)",
0.5, min = -100, max = 100,
width = NULL),
actionButton("screen_go_sc",
label = "screen",
width ="100%")
)# end of box
),#end of column
column(width = 3,
box(title ="screening Results",
width =12,
solidHeader = T,
status = "info",
plotly::plotlyOutput("pie_plot_screen_sc",
width = "auto",
height = "auto")
)#end of box
),#end of column
column(width = 12,
box(title = "Plots Baseline Model Results",
width = 12,
solidHeader = T,
status = "info",
box(title = "Choose Data to Visualize",
width = 3,
solidHeader = F,
status = "info",
selectInput('Res_vis_sc', 'Data', ""),
actionButton("base_plot_go_sc",
label = "Plot",
width ="100%")
),# end of box
conditionalPanel(condition = "input.base_plot_go_sc",
tabBox(title = tagList(icon("line-chart"), ""),
width = 9,
tabPanel("Time Series Plot",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_mod_sc")
),#end of tabPanel
tabPanel("Scatter plot fitting vs. actual",
width =8,
solidHeader = F,
status = "info",
plotOutput("scatter_plot_act_fit_sc")
),#end of tabPanel
tabPanel("Scatter plot of errors vs. input",
width =8,
solidHeader = F,
status = "info",
uiOutput('radio_plot_err_sc'),
plotOutput("scatter_plot_err_input_sc")
),#end of tabPanel
tabPanel("Residuals Autocorrelation Plot",
width =8,
solidHeader = F,
status = "info",
numericInput("lag_max_sc",
label = "Select the Maximum Lag to Plot",
value = 12,
min = 1,
step = 1,
width = '20%'),
plotOutput("acf_plot_sc")
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)# end of box
)#end of column
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
## ----- Deprecated -----
## exclude the uncertainty calculation
# tabItem(tabName = "uncertEstimation_sc",
# fluidPage(
# conditionalPanel(condition = "input.Train_go_sc || input.next_init_sc_lo",
# fluidRow(
# column(width = 8,
# box(title = "Fractional savings uncertainty for a given fractional savings",
# width = 12,
# solidHeader = T,
# status = "info",
# box(title = " ",
# width =3,
# solidHeader = F,
# status = "info",
# numericInput("Frac_Sav_sc",
# "Provide the Expected Fractional Savings (in %)",
# 5, min = 0, max = 100, step =1,
# width = NULL),
# br(),
# numericInput("d_post_sc",
# "Provide The Expected Length Of The Post Period (in days)",
# 365, min = 0, max = 3650, step =1,
# width = NULL),
# actionButton("fsu_est_go_sc",
# label = "Estimate",
# width ="100%")
# ),# end of box
# conditionalPanel(condition = "input.fsu_est_go_sc",
# box(title = "",
# width = 9,
# solidHeader = F,
# status = "info",
# dataTableOutput("fsu_est_tab_sc")
# )# end of box
# ) #end of conditionalPanel
# )# end of box
# )#end of column
# )#end of fluidRow
# )#end of conditionalPanel
# )#end of fluidPage
# ),#end of tabItem
tabItem(tabName = "summary_sc",
fluidPage(
conditionalPanel(condition = "input.Train_go_sc || input.next_init_sc_lo",
column(width = 4),
column(width = 4,
box(title = "Choose the Building",
width = 12,
solidHeader = T,
status ="info",
selectInput('Res_summ_sc', 'Data', ""),
actionButton("summary_go_sc",
label = "Summarize",
width ="100%")
)# end of box
),#end of column
column(width = 4),
column(width = 12,
valueBoxOutput("R2BoxSc",width = 4),
valueBoxOutput("CVRMSEBoxSc",width = 4),
valueBoxOutput("NMBEBoxSc",width = 4)
),#end column
column(width = 2),
column(width = 8,
box("Pre-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("pre_ts_plot_mod_sc_2")
)#end of box
),#end column
column(width = 2)
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
#===============================================================================
# Savings Analysis #
#===============================================================================
tabItem(tabName = "visuProject_sav",
fluidPage(
conditionalPanel("input.next_init_sav || input.next_init_sav_lo",
column(width = 12,
box(title = "Pre-Installation data summary",
width =6,
solidHeader = T,
status = "info",
dataTableOutput("pre_summary_tab_sav"),
downloadButton("pre_summary_tab_sav_dl", "Download")
),# end of box
box(title = "Post-Installation data summary",
width = 6,
solidHeader = T,
status = "info",
dataTableOutput("post_summary_tab_sav"),
downloadButton("post_summary_tab_sav_dl", "Download")
)# end of box
),#end of column
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width =12,
solidHeader = T,
status = "info",
selectInput("Data_vis_sav",
"Data", ""),
actionButton("plot_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width = 12,
conditionalPanel(condition = "input.plot_go_sav",
tabBox(title = tagList(shiny::icon("line-chart"),
"Pre-Installation plots"),
width = 6,
tabPanel("Time Series Pre-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_pre_sav")
),#end of tabPanel
tabPanel("Scatter plot eload Vs. input",
width =12,
solidHeader = F,
status = "info",
uiOutput('radio_plot_pre_sav'),
plotOutput("scatter_plot_pre_sav")
),#end of tabPanel
tabPanel("Heatmap",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_pre_sav",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
),#end of conditionalPanel
conditionalPanel(condition = "input.plot_go_sav",
tabBox(title = tagList(shiny::icon("line-chart"),
"Post-Installation plots"),
width = 6,
tabPanel("Time Series Post-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_post_sav")
),#end of tabPanel
tabPanel("Scatter plot eload Vs. input",
width =12,
solidHeader = F,
status = "info",
uiOutput('radio_plot_post_sav'),
plotOutput("scatter_plot_post_sav")
),#end of tabPanel
tabPanel("Heatmap",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_post_sav",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)#end of column
)# end of conditional panel
)# end of fluidPage
),#end of tabItem
tabItem(tabName = "trainModels_sav",
fluidPage(
conditionalPanel(condition = "input.next_init_sav",
fluidRow(
column(width = 12,
box(title = "Model Set Up",
width = 12,
solidHeader = T,
status ="info",
box(title = "Select the Baseline Model",
width =3,
solidHeader = F,
status = "info",
selectInput('Model_sav',
'Model',
c("TOWT","GBM")),
conditionalPanel(condition = "input.Model_sav == 'GBM'",
radioButtons("d_off_GBM_sav",
"Include Days Off as independent variable:",
c("No" = "no_sav",
"Default US Holidays
(from 2006 to 2018)" = "def_d_off_sav",
"Select a new Days Off file" = "yes_sav")),
conditionalPanel(condition = "input.d_off_GBM_sav == 'yes_sav'",
fileInput("d_off_path_sav",
"Choose Days Off CSV File",
accept = ".csv")
)# end of conditionalPanel
),# end of conditionalPanel
actionButton("Train_go_sav",
label = "Train the Baseline Model",
width ="100%")
),# end of box
box(title = "Baseline Model Description",
width = 5,
solidHeader = F,
status = "info",
h3(textOutput("Model_Name_sav")),
textOutput("Model_Desc_sav")
),#end of box
conditionalPanel(condition = "input.Model_sav == 'TOWT'",
box(title = "TOWT Hyper-parameter Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("timescaleDays_sav",
"timescale for weighting function (in days):",
min = 1,
max = 90,
value = 15,
step = 1)
)#end of box
),# end of conditionalPanel
conditionalPanel(condition = "input.Model_sav == 'GBM'",
box(title = "GBM Hyper-parameters Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("ncores_sav",
"number of cores (parallelization):",
min = 1,
max = parallel::detectCores(logical =F),
value = parallel::detectCores(logical =F),
step = 1),
sliderInput("kfolds_sav",
"number of cross validations (k-folds):",
min = 3, max = 10,
value = 5, step = 1),
sliderInput("gbm_iter_sav",
"number of GBM iterations:",
min = 50, max = 1000,
value = c(50,500), step = 50),
sliderInput("depth_sav",
"depth of trees:",
min = 1, max = 10,
value = c(3,7), step = 1),
checkboxGroupInput("lr_sav",
"learning rates:",
choices = c("0.5" = "0.5",
"0.1" = "0.1",
"0.05" = "0.05",
"0.01" = "0.01",
"0.005" = "0.005",
"0.001" = "0.001"),
selected = "0.05")
)#end of box
)# end of conditionalPanel
)#end of box
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("trainEndBox_sav",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
)# end of fluidRow
)# end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "resBaseline_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
fluidRow(
column(width = 6,
box(title = "Goodness of Fit",
width = 12,
solidHeader = T,
status = "info",
dataTableOutput("model_metrics_tab_sav"),
downloadButton("model_metrics_tab_sav_dl", "Download")
)#end of box
),#end of column
column(width = 3,
box(title = " Screening Thresholds",
width =12,
solidHeader = T,
status = "info",
numericInput("R2_tresh_sav",
"R2 (in %)",
65, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("CVRMSE_tresh_sav",
"CVRMSE (in %)",
25, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("NMBE_tresh_sav",
"NMBE (in %)",
0.5, min = -100, max = 100,
width = NULL),
actionButton("screen_go_sav",
label = "screen",
width ="100%")
)# end of box
),#end of column
column(width = 3,
box(title ="Screening results",
width =12,
solidHeader = T,
status = "info",
plotly::plotlyOutput("pie_plot_screen_sav",
width = "auto",
height = "auto")
)#end of box
)#end of column
),#end of fluidRow
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('Res_vis_sav', 'Data', ""),
actionButton("base_plot_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4),
column(width = 12,
conditionalPanel(condition = "input.base_plot_go_sav",
tabBox(title = tagList(icon("line-chart"), "Plots Baseline Model Results"),
width = 12,
tabPanel("Time Series Plot",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 6,
dygraphs::dygraphOutput("pre_ts_plot_mod_sav")
),#end of column
column(width = 6,
dygraphs::dygraphOutput("post_ts_plot_mod_sav")
)#end of column
)#end of fluidRow
),#end of tabPanel
tabPanel("Scatter plot fitting vs. actual",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 8,
plotOutput("scatter_plot_act_fit_sav")
)#end of column
)#end of fluidRow
),#end of tabPanel
tabPanel("Scatter plot residuals vs. input",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 8,
uiOutput('radio_plot_err_sav'),
plotOutput("scatter_plot_err_input_sav")
)#end of column
)#end of fluidRow
),#end of tabPanel
tabPanel("Residuals Autocorrelation Plot",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 8,
numericInput("lag_max_sav",
label = "Select the Maximum Lag to Plot",
value = 12,
min = 1,
step = 1,
width = '20%'),
plotOutput("acf_plot_sav")
)#end of column
)#end of fluidRow
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)#end of column
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "savAnalysis_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
fluidRow(
column(width = 12,
box(title = "Savings Estimations",
width = 12,
solidHeader = T,
status ="info",
box(title = " ",
width =3,
solidHeader = F,
status = "info",
paste("The savings are estimated by subtracting the
actual energy consumption from the baseline
model predicted energy consumption of the post
period."),
br(),
hr(),
## ----- Deprecated -----
## exclude the uncertainty calculation
# numericInput("inCL",
# "The Confidence Level at which the Savings Uncertainty will be Estimated (in %)",
# 68, min = 0, max = 100, step =1,
# width = NULL),
# br(),
actionButton("sav_est_go",
label = "Estimate Savings",
width ="100%"),
br(),
hr(),
HTML("<p> <strong> FS:</strong> Fractional Savings </p>")#,
#HTML("<p> <strong> FSU:</strong> Fractional Savings Uncertainty</p>")
),# end of box
conditionalPanel(condition = "input.sav_est_go",
box(title = "",
width = 9,
solidHeader =F,
status ="info",
dataTableOutput("sav_est_tab"),
downloadButton("sav_est_tab_dl", "Download")
)# end of box
) #end of conditionalPanel
)# end of box
)#end of column
),#end of fluidRow
fluidRow(
conditionalPanel(condition = "input.sav_est_go",
column(width = 12,
box(title ="Savings Results",
width =12,
solidHeader = F,
status = "info",
plotly::plotlyOutput("bar_plot_sav_error")
)#end of box
)#end of column
)#end of conditionalPanel
),#end of fluidRow
fluidRow(
conditionalPanel(condition = "input.sav_est_go",
column(width = 12,
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('Res_vis_sav_2', 'Data', ""),
actionButton("plot_gran_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4)
),# end of column
conditionalPanel(condition = "input.plot_gran_go_sav",
column(width =2),
column(width = 8,
tabBox(title = tagList(shiny::icon("line-chart"),
"Savings plots"),
width = 12,
tabPanel("Savings Time Series",
width =12,
solidHeader = F,
status = "info",
radioButtons(inputId = 'Plot_gran_sav',
label = 'Select Time Granularity',
choices = c("Original Granularity",
"Daily",
"Weekly",
"Monthly"),
selected = "Original Granularity",
inline = T),
dygraphs::dygraphOutput("ts_savings_plot_sav")
),#end of tabPanel
tabPanel("Savings CUSUM Plot",
width =12,
solidHeader = F,
status = "info",
radioButtons(inputId = 'Plot_cusum_gran_sav',
label = 'Select Time Granularity',
choices = c("Original Granularity",
"Daily",
"Weekly",
"Monthly"),
selected = "Original Granularity",
inline = T),
dygraphs::dygraphOutput("ts_cusum_plot_sav")
),#end of tabPanel
tabPanel("Savings Heatmap Plot",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_savings_sav",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
),#end of column
column(width =2)
)#end of conditionalPanel
)#end of conditionalPanel
)# end of fluidRow
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
## ----- Deprecated -----
# tabItem(tabName = "visSavAnalysis_sav",
# fluidPage(
# conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
# column(width = 3,
# box(title = "Plots Settings",
# width = 12,
# solidHeader = T,
# status ="info",
# box(title = "Choose Data to Visualize",
# width =12,
# solidHeader = F,
# status = "info",
# selectInput('Res_vis_sav_2', 'Data', "")
# ),# end of box
# box(title = "Choose Time Horizon",
# width =12,
# solidHeader = F,
# status = "info",
# selectInput('Plot_gran_sav',
# 'Model',
# c("Original Granularity",
# "daily",
# "weekly",
# "monthly"))
# ),# end of box
# actionButton("plot_gran_go_sav",
# label = "Plot",
# width ="100%")
# )#end of box
# ),#end of column
# conditionalPanel(condition = "input.plot_gran_go_sav",
# column(width = 9,
# box(title = "Plots",
# width = 12,
# solidHeader = T,
# status ="info",
# box(title = "Post Period Plot",
# width = 12,
# solidHeather = F,
# status = "info",
# dygraphs::dygraphOutput("ts_post_plot_sav")
# ),#end of box
# box(title = "Savings Heatmap Plot",
# width = 12,
# solidHeather = F,
# status = "info",
# plotly::plotlyOutput("heatmap_savings_sav",
# height = "auto",
# width = "auto")
# ),#end of box
# box(title = "Plot of the Difference Between the Actual and the Prediction",
# width = 12,
# solidHeather = F,
# status = "info",
# dygraphs::dygraphOutput("ts_savings_plot_sav")
# ),#end of box
# box(title = "CUSUM Plot",
# width = 12,
# solidHeather = F,
# status = "info",
# dygraphs::dygraphOutput("ts_cusum_plot_sav")
# )#end of box
# )#end of box
# )#end of column
# )#end of conditionalPanel
# )#end of conditionalPanel
# )#end of fluidPage
# ),#end of tabItem
tabItem(tabName = "nrEvents_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav && input.sav_est_go",
fluidRow(
column(width = 12,
box(title = "Potential Non-Routine Events Identification",
width = 12,
solidHeader = T,
status ="info",
box(title = " ",
width =3,
solidHeader = F,
status = "info",
paste("The Potential Non-Routine Events are identified using
statistical multiple change points algorithm.
Change points are considered to be the points
in the time series where a change in the
statistical properties (i.e. change in mean
and/or variance) is observed."),
br(),
hr(),
actionButton("nre_go_sav",
label = "Check for Potential Non-Routine Events",
width ="100%"),
br(),
hr(),
HTML("<p> <strong> cpts:</strong> Number of detected change points </p>")#,
),# end of box
conditionalPanel(condition = "input.nre_go_sav",
box(title = "",
width = 9,
solidHeader =F,
status ="info",
dataTableOutput("nre_test_tab_sav"),
downloadButton("nre_test_tab_sav_dl", "Download")
)# end of box
) #end of conditionalPanel
)# end of box
)#end of column
),#end of fluidRow
conditionalPanel(condition = "input.nre_go_sav",
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("nreEndBox_sav",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('nre_vis_sav', 'Data', ""),
actionButton("nre_plot_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4)
),# end of column
conditionalPanel(condition = "input.nre_plot_go_sav",
column(width =2),
column(width = 8,
box(title = "NRE Plots",
width = 12,
solidHeader = T,
status ="info",
dygraphs::dygraphOutput("nre_ts_plot_sav")
)#end of box
),#end of column
column(width =2)
)#end of conditionalPanel
)# end of fluidRow
)#end of conditionalPanel
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "nrEvents_sav_lo",
fluidPage(
conditionalPanel(condition = "input.next_init_sav_lo && input.sav_est_go",
fluidRow(
column(width = 12,
box(title = "Potential Non-Routine Events Identification",
width = 12,
solidHeader = T,
status ="info",
box(title = " ",
width =3,
solidHeader = F,
status = "info",
paste("The Potential Non-Routine Events are identified using
statistical multiple change points algorithm.
Change points are considered to be the points
in the time series where a change in the
statistical properties (i.e. change in mean
and/or variance) is observed."),
br(),
hr(),
actionButton("nre_go_sav_lo",
label = "Show Potential Non-Routine Events Identification Results",
width ="100%"),
br(),
hr(),
HTML("<p> <strong> cpts:</strong> Number of detected change points </p>")#,
),# end of box
conditionalPanel(condition = "input.nre_go_sav_lo",
box(title = "",
width = 9,
solidHeader =F,
status ="info",
dataTableOutput("nre_test_tab_sav_lo"),
downloadButton("nre_test_tab_sav_lo_dl", "Download")
)# end of box
) #end of conditionalPanel
)# end of box
)#end of column
),#end of fluidRow
conditionalPanel(condition = "input.nre_go_sav_lo",
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("nreEndBox_sav_lo",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('nre_vis_sav_lo', 'Data', ""),
actionButton("nre_plot_go_sav_lo",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4)
),# end of column
conditionalPanel(condition = "input.nre_plot_go_sav_lo",
column(width =2),
column(width = 8,
box(title = "NRE Plots",
width = 12,
solidHeader = T,
status ="info",
dygraphs::dygraphOutput("nre_ts_plot_sav_lo")
)#end of box
),#end of column
column(width =2)
)#end of conditionalPanel
)# end of fluidRow
) #end of conditionalPanel
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "summary_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
column(width = 3),
column(width = 6,
box(title = "Summary setup",
width = 12,
solidHeader = T,
status ="info",
box(title = "Summary level",
width =6,
solidHeader = F,
status = "info",
radioButtons("type_summ",
label = h3(""),
choices = list("Portfolio" = 1,
"Building" = 2),
selected = 1)
),# end of box
conditionalPanel(condition = "input.type_summ == 1",
box(title = "Building to include in the summary",
width =6,
solidHeader = F,
status = "info",
radioButtons("level_summ",
label = h3(""),
choices = list("All" = 1,
"Screened" = 2),
selected = 1)
)# end of box
), #end of conditionalPanel
conditionalPanel(condition = "input.type_summ == 2",
box(title = "Choose the Building",
width =6,
solidHeader = F,
status = "info",
selectInput('Res_summ_sav', 'Data', "")
)# end of box
), #end of conditionalPanel
column(width = 12,
column(width = 4),
column(width = 4,
actionButton("summary_go_sav",
label = "Summarize",
width ="100%")
),
column(width = 4)
)#en column
)# end of box
),#end of column
column(width = 3),
conditionalPanel(condition = "input.type_summ == 2 && input.summary_go_sav",
column(width = 12,
valueBoxOutput("R2BoxSav",width = 4),
valueBoxOutput("CVRMSEBoxSav",width = 4),
valueBoxOutput("NMBEBoxSav",width = 4),
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("FsuBoxSav",width = 3),
box("Pre-Installation",
width =6,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("pre_ts_plot_mod_sav_2")
),#end of box
box("Post-Installation",
width =6,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("post_ts_plot_mod_sav_2")
),#end of box
conditionalPanel(condition = "input.sav_est_go",
valueBoxOutput("SavingsBoxSav",width = 6),
valueBoxOutput("FsBoxSav",width = 6)
)
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("SavRangeBoxSav",width = 6),
# valueBoxOutput("FsRangeBoxSav",width = 6)
),#end column
column(width = 3),
column(width = 6,
conditionalPanel(condition = "input.nre_go_sav || input.nre_go_sav_lo",
valueBoxOutput("NreBoxSav",width = 12)
)
),#end column
column(width = 3)
),#end of conditionalPanel
conditionalPanel(condition = "input.type_summ == 1 &&
input.level_summ == 1 &&
input.summary_go_sav",
column(width = 12,
## ----- Deprecated -----
## exclude the uncertainty calculation
# column(width = 4),
# valueBoxOutput("PortFsuBoxSav",width = 4),
# column(width = 4),
box("Savings Results",
width =12,
solidHeader = F,
status = "info",
plotly::plotlyOutput("bar_plot_sav_error_2")
),#end of box
conditionalPanel(condition = "input.sav_est_go",
valueBoxOutput("PortSavingsBoxSav",width = 6),
valueBoxOutput("PortFsBoxSav",width = 6)
)
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("PortSavRangeBoxSav",width = 6),
# valueBoxOutput("PortFsRangeBoxSav",width = 6)
)#end column
),#end of conditionalPanel
conditionalPanel(condition = "input.type_summ == 1 &&
input.level_summ == 2 &&
input.summary_go_sav",
column(width = 12,
## ----- Deprecated -----
## exclude the uncertainty calculation
# column(width = 4),
# valueBoxOutput("PortFsuBoxSav_2",width = 4),
# column(width = 4),
box("Savings Results",
width =12,
solidHeader = F,
status = "info",
plotly::plotlyOutput("bar_plot_sav_error_3")
),#end of box
conditionalPanel(condition = "input.sav_est_go",
valueBoxOutput("PortSavingsBoxSav_2",width = 6),
valueBoxOutput("PortFsBoxSav_2",width = 6)
)
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("PortSavRangeBoxSav_2",width = 6),
# valueBoxOutput("PortFsRangeBoxSav_2",width = 6)
)#end column
)#end of conditionalPanel
)#end of conditionalPanel
)#end of fluidPage
)#end of tabItem
)# end of tabItems
)# end of dashboardBody
)#end of dashboardPage
LBNL-ETA/RMV2.0 documentation built on Nov. 9, 2020, 5:44 a.m.
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#-------------------------------------------------------------------------------
# RMV2.0 (version 1.1.0)
# LBNL MV 2.0 Toolbox
# Samir Touzani, PhD
#-------------------------------------------------------------------------------
#===============================================================================
# SHINY_UI #
#===============================================================================
dashboardPage(skin = "red",
dashboardHeader(title = "RM&V 2.0"),
dashboardSidebar(
conditionalPanel(condition = " input.next_init_1 == 0",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 1 &&
input.new_init == 1",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("___ Screening Analysis ___",
tabName = "screening",
icon = icon("paint-brush "),
conditionalPanel(condition = "input.next_init_sc",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sc"),
menuSubItem("Train Baseline Models",
icon = icon("gears"),
tabName = "trainModels_sc")
),
conditionalPanel(condition = "input.Train_go_sc",
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sc"),
## ----- Deprecated -----
## exclude the uncertainty calculation
# menuSubItem("Uncertainty Estimation",
# icon = icon("stats", lib = "glyphicon"),
# tabName = "uncertEstimation_sc"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sc"),
uiOutput("save_pred_sc_Ui")
),
startExpanded = T
),
uiOutput("save_sc_Ui"),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 1 &&
input.new_init == 2",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("___ Screening Analysis ___",
tabName = "screening_lo",
icon = icon("paint-brush "),
conditionalPanel(condition = "input.next_init_sc_lo",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sc"),
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sc"),
## ----- Deprecated -----
## exclude the uncertainty calculation
# menuSubItem("Uncertainty Estimation",
# icon = icon("stats", lib = "glyphicon"),
# tabName = "uncertEstimation_sc"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sc")
),
startExpanded = T
),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 2 &&
input.new_init == 1",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("____ Savings Analysis ____",
tabName = "savings",
icon = icon("leaf"),
conditionalPanel(condition = "input.next_init_sav",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sav"),
menuSubItem("Train Baseline Models",
icon = icon("gears"),
tabName = "trainModels_sav")
),
conditionalPanel(condition = "input.Train_go_sav",
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sav"),
menuSubItem("Savings Estimations",
icon = icon("stats", lib = "glyphicon"),
tabName = "savAnalysis_sav")
),
# menuSubItem("Savings & CUSUM",
# icon = icon("line-chart"),
# tabName = "visSavAnalysis_sav"),
conditionalPanel(condition = "input.sav_est_go",
menuSubItem("Non Routine Events",
icon = icon("line-chart"),
tabName = "nrEvents_sav"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sav")
),
conditionalPanel(condition = "input.Train_go_sav",
uiOutput("save_pred_sav_Ui")
),
startExpanded = T
),
uiOutput("save_sav_Ui"),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
),#end conditional panel
conditionalPanel(condition = "input.next_init_1 &&
input.type_init == 2 &&
input.new_init == 2",
sidebarMenu(id = "tbar",
menuItem("Home",
tabName = "home",
icon = icon("home")),
menuItem("Project Setup",
tabName = "initialization",
icon = icon("tasks")),
menuItem("____ Savings Analysis ____",
tabName = "savings_lo",
icon = icon("leaf"),
conditionalPanel(condition = "input.next_init_sav_lo",
menuSubItem("Input Data Overview",
icon = icon("table"),
tabName = "visuProject_sav"),
menuSubItem("Baseline Modeling Results",
icon = icon("pie-chart"),
tabName = "resBaseline_sav"),
menuSubItem("Savings Estimations",
icon = icon("stats", lib = "glyphicon"),
tabName = "savAnalysis_sav")
),
# menuSubItem("Savings & CUSUM",
# icon = icon("line-chart"),
# tabName = "visSavAnalysis_sav"),
conditionalPanel(condition = "input.sav_est_go",
menuSubItem("Non Routine Events",
icon = icon("line-chart"),
tabName = "nrEvents_sav_lo"),
menuSubItem("Summary",
icon = icon("dashboard"),
tabName = "summary_sav")
),
startExpanded = T
),
menuItem("Help",
tabName = "help",
icon = icon("question-circle"))
)#end sidebarMenu
)#end conditional panel
),#end of dashboardSidebar
dashboardBody(
useShinyjs(),
extendShinyjs(text = jscode, functions = c("warningBox","successBox")),
tabItems(
tabItem(tabName = "home",
fluidPage(title = "Home",
fluidRow(
div(img(src='logo.svg'),style="text-align: center;")
)# end of fluidRow
)# end of fluidPage
),#end of tabItem
tabItem(tabName = "help",
fluidPage(title = "Help",
#fluidRow(
column(width = 2),
column(width = 8,
box(title = "",
width = 12,
solidHeader = F,
status = "info",
includeMarkdown(system.file("shiny/guiApp/www", "User_Guide.md", package = "RMV2.0"))
#htmltools::tags$iframe(src = 'User_Guide.html', width = '100%',height = '1000px')
)#end box
),#end column
column(width = 2)
#)# end of fluidRow
)# end of fluidPage
),#end of tabItem
#===============================================================================
# Initialization #
#===============================================================================
tabItem(tabName = "initialization",
fluidPage(title = "initialization",
fluidRow(
column(width = 3,
box(title = "Project Type",
width = 12,
solidHeader = T,
status = "info",
box(title = "Select the project type",
width = 12,
solidHeader = F,
status ="info",
radioButtons("type_init",
label = h3(""),
choices = list("Screening" = 1,
"Savings Analysis" = 2),
selected = 1),
radioButtons("new_init",
label = h3(""),
choices = list("Create a New Project" = 1,
"Open an Existing Project" = 2),
selected = 1)
),#end of box
column(width = 12,
conditionalPanel(condition = "input.next_init_1 == 0",
actionButton("next_init_1",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end conditionalPanel
)#end of column
)# end of box
),# end of column
conditionalPanel(condition = "input.next_init_1 && input.type_init == 1 && input.new_init == 1",
column(width = 4,
box(title = "Screening Mode",
width = 12,
solidHeader = T,
status = "info",
box(title = "Project Name",
width = 12,
solidHeader =F,
status ="info",
textInput("p_name_sc",
label = NULL,
value = paste0("Project_",
format(Sys.time(), "%m.%d")))
),#end of box
box(id = "save_dir_sc_box",
title = "Select the directory where the results will be saved",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("save_dir_sc",
"Browse",
"Browse")
),
column(8,
textOutput("save_dir_sc_out"),
tags$style(type='text/css',
"#save_dir_sc_out { width:100%; margin-top: 5px;}")
)
),#end of box
box(id = "pre_dir_sc_box",
title = "Select pre-installation data directory",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("pre_dir_sc",
"Browse",
"Browse")
),
column(8,
textOutput("pre_dir_sc_out"),
tags$style(type='text/css',
"#pre_dir_sc_out { width:100%; margin-top: 5px;}")
)
),#end of box
conditionalPanel(
"output.fields_sc_new",
column(width = 12,
actionButton("next_init_sc",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sc",width = 12)
)#end of column
),# end of conditionalPanel
conditionalPanel(condition = "input.next_init_1 && input.type_init == 1 && input.new_init == 2",
column(width = 4,
box(title = "Screening Mode",
width = 12,
solidHeader = T,
status = "info",
box(id = "load_sc_box",
title = "Choose the project file",
width = 12,
solidHeader =F,
status = "warning",
column(4,
shinyFilesButton("load_sc",
"Browse",
"Browse",
multiple=F)
),
column(8,
textOutput("load_sc_out"),
tags$style(type='text/css',
"#load_sc_out { width:100%; margin-top: 5px;}")
)
),#end of box
conditionalPanel(
"output.fields_sc_load",
column(width = 12,
actionButton("next_init_sc_lo",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)#end of cp
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sc_lo",width = 12)
)#end of column
),# end of conditionalPanel
conditionalPanel(condition = "input.next_init_1 && input.type_init == 2 && input.new_init == 1",
column(width = 4,
box(title = "Savings Analysis Mode",
width = 12,
solidHeader = T,
status = "info",
box(title = "Project Name",
width = 12,
solidHeader =F,
status ="info",
textInput("p_name_sav",
label = NULL,
value = paste0("Project_",
format(Sys.time(), "%m.%d")))
),#end of box
box(id = "save_dir_sav_box",
title = "Select the directory where the results will be saved",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("save_dir_sav",
"Browse",
"Browse")
),
column(8,
textOutput("save_dir_sav_out"),
tags$style(type='text/css',
"#save_dir_sav_out { width:100%; margin-top: 5px;}")
)
),#end of box
box(id = "pre_dir_sav_box",
title = "Select pre-installation data directory",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("pre_dir_sav",
"Browse",
"Browse")
),
column(8,
textOutput("pre_dir_sav_out"),
tags$style(type='text/css',
"#pre_dir_sav_out { width:100%; margin-top: 5px;}")
)
),#end of box
box(id = "post_dir_sav_box",
title = "Select post-installation data directory",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyDirButton("post_dir_sav",
"Browse",
"Browse")
),
column(8,
textOutput("post_dir_sav_out"),
tags$style(type='text/css',
"#post_dir_sav_out { width:100%; margin-top: 5px;}")
)
#br(),
#tags$b(textOutput("post_dir_sav"))
),#end of box
conditionalPanel(
"output.fields_sav_new",
column(width = 12,
actionButton("next_init_sav",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)#end of cp
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sav",width = 12)
)#end of column
),# end of conditionalPanel
conditionalPanel(condition = "input.next_init_1 && input.type_init == 2 && input.new_init == 2",
column(width = 4,
box(title = "Savings Analysis Mode",
width = 12,
solidHeader = T,
status = "info",
box(id = "load_sav_box",
title = "Choose the project file",
width = 12,
solidHeader =F,
status ="warning",
column(4,
shinyFilesButton("load_sav",
"Browse",
"Browse", multiple=F)
),
column(8,
textOutput("load_sav_out"),
tags$style(type='text/css',
"#load_sav_out { width:100%; margin-top: 5px;}")
)
),#end of box
conditionalPanel(
"output.fields_sav_load",
column(width = 12,
actionButton("next_init_sav_lo",
label = "Next Step",
icon = icon("arrow-right"),
width ="100%")
)#end of column
)#end of cp
)#end of box
),# end of column
column(width = 4,
infoBoxOutput("intEndBox_sav_lo",width = 12)
)#end of column
)# end of conditionalPanel
)# end of fluidRow
)# end of fluidPage
),#end of tabItem
#===============================================================================
# Screening #
#===============================================================================
tabItem(tabName = "visuProject_sc",
fluidPage(
conditionalPanel("input.next_init_sc || input.next_init_sc_lo",
fluidRow(
column(width = 8,
box(title = "Pre-Installation data summary",
width =12,
solidHeader = T,
status = "info",
dataTableOutput("pre_summary_tab_sc"),
downloadButton("pre_summary_tab_sc_dl", "Download")
)# end of box
)#end of column
),# end of fluidrow
fluidRow(
column(width = 12,
box(title = "Pre-Installation data plots",
width = 12,
solidHeader = T,
status = "info",
box(title = "Choose Data to Visualize",
width =3,
solidHeader = F,
status = "info",
selectInput('Data_vis_sc', 'Data', ""),
actionButton("pre_plot_go_sc",
label = "Plot",
width ="100%")
),# end of box
conditionalPanel(condition = "input.pre_plot_go_sc",
tabBox(title = tagList(shiny::icon("line-chart"), ""),
width = 9,
tabPanel("Time Series Pre-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_pre_sc")
),#end of tabPanel
tabPanel("Scatter plot eload Vs. input",
width =6,
solidHeader = F,
status = "info",
uiOutput('radio_plot_pre_sc'),
plotOutput("scatter_plot_pre_sc")
),#end of tabPanel
tabPanel("Heatmap",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_pre_sc",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)#end of box
)#end of column
)#end of fluidRow
)#end of conditionalPanel
)# end of fluidPage
),#end of tabItem
tabItem(tabName = "trainModels_sc",
fluidPage(
conditionalPanel(condition = "input.next_init_sc",
fluidRow(
column(width = 12,
box(title = "Model Set Up",
width = 12,
solidHeader = F,
status = "info",
box(title = "Select the Baseline Model",
width =3,
solidHeader = T,
status = "info",
selectInput('Model_sc',
'Model',
c("TOWT","GBM")),
conditionalPanel(condition = "input.Model_sc == 'GBM'",
radioButtons("d_off_GBM_sc",
"Include Days Off as independent variable:",
c("No" = "no_sc",
"Default US Holidays
(from 2006 to 2018)" = "def_d_off_sc",
"Select a new Days Off file" = "yes_sc")),
conditionalPanel(condition = "input.d_off_GBM_sc == 'yes_sc'",
fileInput("d_off_path_sc",
"Choose Days Off CSV File",
accept = ".csv")
)# end of conditionalPanel
),# end of conditionalPanel
actionButton("Train_go_sc",
label = "Train the Baseline Models",
width ="100%")
),# end of box
box(title = "Baseline Model Description",
width = 5,
solidHeader = F,
status = "info",
h3(textOutput("Model_Name_sc")),
textOutput("Model_Desc_sc")
),#end of box
conditionalPanel(condition = "input.Model_sc == 'TOWT'",
box(title = "TOWT Hyper-parameter Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("timescaleDays_sc",
"timescale for weighting function (in days):",
min = 1,
max = 90,
value = 15,
step = 1)
)#end of box
),# end of conditionalPanel
conditionalPanel(condition = "input.Model_sc == 'GBM'",
box(title = "GBM Hyper-parameters Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("ncores_sc",
"number of cores (parallelization):",
min = 1,
max = parallel::detectCores(logical =F),
value = parallel::detectCores(logical =F),
step = 1),
sliderInput("kfolds_sc",
"number of cross validations (k-folds):",
min = 3, max = 10,
value = 5, step = 1),
sliderInput("gbm_iter_sc",
"number of GBM iterations:",
min = 50, max = 1000,
value = c(50,500), step = 50),
sliderInput("depth_sc",
"depth of trees:",
min = 1, max = 10,
value = c(3,7), step = 1),
checkboxGroupInput("lr_sc",
"Choose the learning rates:",
choices = c("0.5" = "0.5",
"0.1" = "0.1",
"0.05" = "0.05",
"0.01" = "0.01",
"0.005" = "0.005",
"0.001" = "0.001"),
selected = "0.05")
)#end of box
)# end of conditionalPanel
)#end of box
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("trainEndBox_sc",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
)# end of fluidRow
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "resBaseline_sc",
fluidPage(
conditionalPanel(condition = "input.Train_go_sc || input.next_init_sc_lo",
column(width = 6,
box(title = "Goodness of Fit",
width = 12,
solidHeader = T,
status = "info",
dataTableOutput("model_metrics_tab_sc"),
downloadButton("model_metrics_tab_sc_dl", "Download")
)#end of box
),#end of column
column(width = 3,
box(title = " Screening Thresholds",
width =12,
solidHeader = T,
status = "info",
numericInput("R2_tresh_sc",
"R2 (in %)",
65, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("CVRMSE_tresh_sc",
"CVRMSE (in %)",
25, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("NMBE_tresh_sc",
"NMBE (in %)",
0.5, min = -100, max = 100,
width = NULL),
actionButton("screen_go_sc",
label = "screen",
width ="100%")
)# end of box
),#end of column
column(width = 3,
box(title ="screening Results",
width =12,
solidHeader = T,
status = "info",
plotly::plotlyOutput("pie_plot_screen_sc",
width = "auto",
height = "auto")
)#end of box
),#end of column
column(width = 12,
box(title = "Plots Baseline Model Results",
width = 12,
solidHeader = T,
status = "info",
box(title = "Choose Data to Visualize",
width = 3,
solidHeader = F,
status = "info",
selectInput('Res_vis_sc', 'Data', ""),
actionButton("base_plot_go_sc",
label = "Plot",
width ="100%")
),# end of box
conditionalPanel(condition = "input.base_plot_go_sc",
tabBox(title = tagList(icon("line-chart"), ""),
width = 9,
tabPanel("Time Series Plot",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_mod_sc")
),#end of tabPanel
tabPanel("Scatter plot fitting vs. actual",
width =8,
solidHeader = F,
status = "info",
plotOutput("scatter_plot_act_fit_sc")
),#end of tabPanel
tabPanel("Scatter plot of errors vs. input",
width =8,
solidHeader = F,
status = "info",
uiOutput('radio_plot_err_sc'),
plotOutput("scatter_plot_err_input_sc")
),#end of tabPanel
tabPanel("Residuals Autocorrelation Plot",
width =8,
solidHeader = F,
status = "info",
numericInput("lag_max_sc",
label = "Select the Maximum Lag to Plot",
value = 12,
min = 1,
step = 1,
width = '20%'),
plotOutput("acf_plot_sc")
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)# end of box
)#end of column
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
## ----- Deprecated -----
## exclude the uncertainty calculation
# tabItem(tabName = "uncertEstimation_sc",
# fluidPage(
# conditionalPanel(condition = "input.Train_go_sc || input.next_init_sc_lo",
# fluidRow(
# column(width = 8,
# box(title = "Fractional savings uncertainty for a given fractional savings",
# width = 12,
# solidHeader = T,
# status = "info",
# box(title = " ",
# width =3,
# solidHeader = F,
# status = "info",
# numericInput("Frac_Sav_sc",
# "Provide the Expected Fractional Savings (in %)",
# 5, min = 0, max = 100, step =1,
# width = NULL),
# br(),
# numericInput("d_post_sc",
# "Provide The Expected Length Of The Post Period (in days)",
# 365, min = 0, max = 3650, step =1,
# width = NULL),
# actionButton("fsu_est_go_sc",
# label = "Estimate",
# width ="100%")
# ),# end of box
# conditionalPanel(condition = "input.fsu_est_go_sc",
# box(title = "",
# width = 9,
# solidHeader = F,
# status = "info",
# dataTableOutput("fsu_est_tab_sc")
# )# end of box
# ) #end of conditionalPanel
# )# end of box
# )#end of column
# )#end of fluidRow
# )#end of conditionalPanel
# )#end of fluidPage
# ),#end of tabItem
tabItem(tabName = "summary_sc",
fluidPage(
conditionalPanel(condition = "input.Train_go_sc || input.next_init_sc_lo",
column(width = 4),
column(width = 4,
box(title = "Choose the Building",
width = 12,
solidHeader = T,
status ="info",
selectInput('Res_summ_sc', 'Data', ""),
actionButton("summary_go_sc",
label = "Summarize",
width ="100%")
)# end of box
),#end of column
column(width = 4),
column(width = 12,
valueBoxOutput("R2BoxSc",width = 4),
valueBoxOutput("CVRMSEBoxSc",width = 4),
valueBoxOutput("NMBEBoxSc",width = 4)
),#end column
column(width = 2),
column(width = 8,
box("Pre-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("pre_ts_plot_mod_sc_2")
)#end of box
),#end column
column(width = 2)
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
#===============================================================================
# Savings Analysis #
#===============================================================================
tabItem(tabName = "visuProject_sav",
fluidPage(
conditionalPanel("input.next_init_sav || input.next_init_sav_lo",
column(width = 12,
box(title = "Pre-Installation data summary",
width =6,
solidHeader = T,
status = "info",
dataTableOutput("pre_summary_tab_sav"),
downloadButton("pre_summary_tab_sav_dl", "Download")
),# end of box
box(title = "Post-Installation data summary",
width = 6,
solidHeader = T,
status = "info",
dataTableOutput("post_summary_tab_sav"),
downloadButton("post_summary_tab_sav_dl", "Download")
)# end of box
),#end of column
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width =12,
solidHeader = T,
status = "info",
selectInput("Data_vis_sav",
"Data", ""),
actionButton("plot_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width = 12,
conditionalPanel(condition = "input.plot_go_sav",
tabBox(title = tagList(shiny::icon("line-chart"),
"Pre-Installation plots"),
width = 6,
tabPanel("Time Series Pre-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_pre_sav")
),#end of tabPanel
tabPanel("Scatter plot eload Vs. input",
width =12,
solidHeader = F,
status = "info",
uiOutput('radio_plot_pre_sav'),
plotOutput("scatter_plot_pre_sav")
),#end of tabPanel
tabPanel("Heatmap",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_pre_sav",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
),#end of conditionalPanel
conditionalPanel(condition = "input.plot_go_sav",
tabBox(title = tagList(shiny::icon("line-chart"),
"Post-Installation plots"),
width = 6,
tabPanel("Time Series Post-Installation",
width =12,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("ts_plot_post_sav")
),#end of tabPanel
tabPanel("Scatter plot eload Vs. input",
width =12,
solidHeader = F,
status = "info",
uiOutput('radio_plot_post_sav'),
plotOutput("scatter_plot_post_sav")
),#end of tabPanel
tabPanel("Heatmap",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_post_sav",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)#end of column
)# end of conditional panel
)# end of fluidPage
),#end of tabItem
tabItem(tabName = "trainModels_sav",
fluidPage(
conditionalPanel(condition = "input.next_init_sav",
fluidRow(
column(width = 12,
box(title = "Model Set Up",
width = 12,
solidHeader = T,
status ="info",
box(title = "Select the Baseline Model",
width =3,
solidHeader = F,
status = "info",
selectInput('Model_sav',
'Model',
c("TOWT","GBM")),
conditionalPanel(condition = "input.Model_sav == 'GBM'",
radioButtons("d_off_GBM_sav",
"Include Days Off as independent variable:",
c("No" = "no_sav",
"Default US Holidays
(from 2006 to 2018)" = "def_d_off_sav",
"Select a new Days Off file" = "yes_sav")),
conditionalPanel(condition = "input.d_off_GBM_sav == 'yes_sav'",
fileInput("d_off_path_sav",
"Choose Days Off CSV File",
accept = ".csv")
)# end of conditionalPanel
),# end of conditionalPanel
actionButton("Train_go_sav",
label = "Train the Baseline Model",
width ="100%")
),# end of box
box(title = "Baseline Model Description",
width = 5,
solidHeader = F,
status = "info",
h3(textOutput("Model_Name_sav")),
textOutput("Model_Desc_sav")
),#end of box
conditionalPanel(condition = "input.Model_sav == 'TOWT'",
box(title = "TOWT Hyper-parameter Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("timescaleDays_sav",
"timescale for weighting function (in days):",
min = 1,
max = 90,
value = 15,
step = 1)
)#end of box
),# end of conditionalPanel
conditionalPanel(condition = "input.Model_sav == 'GBM'",
box(title = "GBM Hyper-parameters Setup",
width = 4,
solidHeader = F,
status = "info",
sliderInput("ncores_sav",
"number of cores (parallelization):",
min = 1,
max = parallel::detectCores(logical =F),
value = parallel::detectCores(logical =F),
step = 1),
sliderInput("kfolds_sav",
"number of cross validations (k-folds):",
min = 3, max = 10,
value = 5, step = 1),
sliderInput("gbm_iter_sav",
"number of GBM iterations:",
min = 50, max = 1000,
value = c(50,500), step = 50),
sliderInput("depth_sav",
"depth of trees:",
min = 1, max = 10,
value = c(3,7), step = 1),
checkboxGroupInput("lr_sav",
"learning rates:",
choices = c("0.5" = "0.5",
"0.1" = "0.1",
"0.05" = "0.05",
"0.01" = "0.01",
"0.005" = "0.005",
"0.001" = "0.001"),
selected = "0.05")
)#end of box
)# end of conditionalPanel
)#end of box
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("trainEndBox_sav",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
)# end of fluidRow
)# end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "resBaseline_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
fluidRow(
column(width = 6,
box(title = "Goodness of Fit",
width = 12,
solidHeader = T,
status = "info",
dataTableOutput("model_metrics_tab_sav"),
downloadButton("model_metrics_tab_sav_dl", "Download")
)#end of box
),#end of column
column(width = 3,
box(title = " Screening Thresholds",
width =12,
solidHeader = T,
status = "info",
numericInput("R2_tresh_sav",
"R2 (in %)",
65, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("CVRMSE_tresh_sav",
"CVRMSE (in %)",
25, min = 0, max = 100, step =1,
width = NULL),
br(),
numericInput("NMBE_tresh_sav",
"NMBE (in %)",
0.5, min = -100, max = 100,
width = NULL),
actionButton("screen_go_sav",
label = "screen",
width ="100%")
)# end of box
),#end of column
column(width = 3,
box(title ="Screening results",
width =12,
solidHeader = T,
status = "info",
plotly::plotlyOutput("pie_plot_screen_sav",
width = "auto",
height = "auto")
)#end of box
)#end of column
),#end of fluidRow
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('Res_vis_sav', 'Data', ""),
actionButton("base_plot_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4),
column(width = 12,
conditionalPanel(condition = "input.base_plot_go_sav",
tabBox(title = tagList(icon("line-chart"), "Plots Baseline Model Results"),
width = 12,
tabPanel("Time Series Plot",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 6,
dygraphs::dygraphOutput("pre_ts_plot_mod_sav")
),#end of column
column(width = 6,
dygraphs::dygraphOutput("post_ts_plot_mod_sav")
)#end of column
)#end of fluidRow
),#end of tabPanel
tabPanel("Scatter plot fitting vs. actual",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 8,
plotOutput("scatter_plot_act_fit_sav")
)#end of column
)#end of fluidRow
),#end of tabPanel
tabPanel("Scatter plot residuals vs. input",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 8,
uiOutput('radio_plot_err_sav'),
plotOutput("scatter_plot_err_input_sav")
)#end of column
)#end of fluidRow
),#end of tabPanel
tabPanel("Residuals Autocorrelation Plot",
width =12,
solidHeader = F,
status = "info",
fluidRow(
column(width = 8,
numericInput("lag_max_sav",
label = "Select the Maximum Lag to Plot",
value = 12,
min = 1,
step = 1,
width = '20%'),
plotOutput("acf_plot_sav")
)#end of column
)#end of fluidRow
)#end of tabPanel
)#end of tabBox
)#end of conditionalPanel
)#end of column
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "savAnalysis_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
fluidRow(
column(width = 12,
box(title = "Savings Estimations",
width = 12,
solidHeader = T,
status ="info",
box(title = " ",
width =3,
solidHeader = F,
status = "info",
paste("The savings are estimated by subtracting the
actual energy consumption from the baseline
model predicted energy consumption of the post
period."),
br(),
hr(),
## ----- Deprecated -----
## exclude the uncertainty calculation
# numericInput("inCL",
# "The Confidence Level at which the Savings Uncertainty will be Estimated (in %)",
# 68, min = 0, max = 100, step =1,
# width = NULL),
# br(),
actionButton("sav_est_go",
label = "Estimate Savings",
width ="100%"),
br(),
hr(),
HTML("<p> <strong> FS:</strong> Fractional Savings </p>")#,
#HTML("<p> <strong> FSU:</strong> Fractional Savings Uncertainty</p>")
),# end of box
conditionalPanel(condition = "input.sav_est_go",
box(title = "",
width = 9,
solidHeader =F,
status ="info",
dataTableOutput("sav_est_tab"),
downloadButton("sav_est_tab_dl", "Download")
)# end of box
) #end of conditionalPanel
)# end of box
)#end of column
),#end of fluidRow
fluidRow(
conditionalPanel(condition = "input.sav_est_go",
column(width = 12,
box(title ="Savings Results",
width =12,
solidHeader = F,
status = "info",
plotly::plotlyOutput("bar_plot_sav_error")
)#end of box
)#end of column
)#end of conditionalPanel
),#end of fluidRow
fluidRow(
conditionalPanel(condition = "input.sav_est_go",
column(width = 12,
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('Res_vis_sav_2', 'Data', ""),
actionButton("plot_gran_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4)
),# end of column
conditionalPanel(condition = "input.plot_gran_go_sav",
column(width =2),
column(width = 8,
tabBox(title = tagList(shiny::icon("line-chart"),
"Savings plots"),
width = 12,
tabPanel("Savings Time Series",
width =12,
solidHeader = F,
status = "info",
radioButtons(inputId = 'Plot_gran_sav',
label = 'Select Time Granularity',
choices = c("Original Granularity",
"Daily",
"Weekly",
"Monthly"),
selected = "Original Granularity",
inline = T),
dygraphs::dygraphOutput("ts_savings_plot_sav")
),#end of tabPanel
tabPanel("Savings CUSUM Plot",
width =12,
solidHeader = F,
status = "info",
radioButtons(inputId = 'Plot_cusum_gran_sav',
label = 'Select Time Granularity',
choices = c("Original Granularity",
"Daily",
"Weekly",
"Monthly"),
selected = "Original Granularity",
inline = T),
dygraphs::dygraphOutput("ts_cusum_plot_sav")
),#end of tabPanel
tabPanel("Savings Heatmap Plot",
width =6,
solidHeader = F,
status = "info",
plotly::plotlyOutput("heatmap_savings_sav",
height = "auto",
width = "auto")
)#end of tabPanel
)#end of tabBox
),#end of column
column(width =2)
)#end of conditionalPanel
)#end of conditionalPanel
)# end of fluidRow
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
## ----- Deprecated -----
# tabItem(tabName = "visSavAnalysis_sav",
# fluidPage(
# conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
# column(width = 3,
# box(title = "Plots Settings",
# width = 12,
# solidHeader = T,
# status ="info",
# box(title = "Choose Data to Visualize",
# width =12,
# solidHeader = F,
# status = "info",
# selectInput('Res_vis_sav_2', 'Data', "")
# ),# end of box
# box(title = "Choose Time Horizon",
# width =12,
# solidHeader = F,
# status = "info",
# selectInput('Plot_gran_sav',
# 'Model',
# c("Original Granularity",
# "daily",
# "weekly",
# "monthly"))
# ),# end of box
# actionButton("plot_gran_go_sav",
# label = "Plot",
# width ="100%")
# )#end of box
# ),#end of column
# conditionalPanel(condition = "input.plot_gran_go_sav",
# column(width = 9,
# box(title = "Plots",
# width = 12,
# solidHeader = T,
# status ="info",
# box(title = "Post Period Plot",
# width = 12,
# solidHeather = F,
# status = "info",
# dygraphs::dygraphOutput("ts_post_plot_sav")
# ),#end of box
# box(title = "Savings Heatmap Plot",
# width = 12,
# solidHeather = F,
# status = "info",
# plotly::plotlyOutput("heatmap_savings_sav",
# height = "auto",
# width = "auto")
# ),#end of box
# box(title = "Plot of the Difference Between the Actual and the Prediction",
# width = 12,
# solidHeather = F,
# status = "info",
# dygraphs::dygraphOutput("ts_savings_plot_sav")
# ),#end of box
# box(title = "CUSUM Plot",
# width = 12,
# solidHeather = F,
# status = "info",
# dygraphs::dygraphOutput("ts_cusum_plot_sav")
# )#end of box
# )#end of box
# )#end of column
# )#end of conditionalPanel
# )#end of conditionalPanel
# )#end of fluidPage
# ),#end of tabItem
tabItem(tabName = "nrEvents_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav && input.sav_est_go",
fluidRow(
column(width = 12,
box(title = "Potential Non-Routine Events Identification",
width = 12,
solidHeader = T,
status ="info",
box(title = " ",
width =3,
solidHeader = F,
status = "info",
paste("The Potential Non-Routine Events are identified using
statistical multiple change points algorithm.
Change points are considered to be the points
in the time series where a change in the
statistical properties (i.e. change in mean
and/or variance) is observed."),
br(),
hr(),
actionButton("nre_go_sav",
label = "Check for Potential Non-Routine Events",
width ="100%"),
br(),
hr(),
HTML("<p> <strong> cpts:</strong> Number of detected change points </p>")#,
),# end of box
conditionalPanel(condition = "input.nre_go_sav",
box(title = "",
width = 9,
solidHeader =F,
status ="info",
dataTableOutput("nre_test_tab_sav"),
downloadButton("nre_test_tab_sav_dl", "Download")
)# end of box
) #end of conditionalPanel
)# end of box
)#end of column
),#end of fluidRow
conditionalPanel(condition = "input.nre_go_sav",
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("nreEndBox_sav",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('nre_vis_sav', 'Data', ""),
actionButton("nre_plot_go_sav",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4)
),# end of column
conditionalPanel(condition = "input.nre_plot_go_sav",
column(width =2),
column(width = 8,
box(title = "NRE Plots",
width = 12,
solidHeader = T,
status ="info",
dygraphs::dygraphOutput("nre_ts_plot_sav")
)#end of box
),#end of column
column(width =2)
)#end of conditionalPanel
)# end of fluidRow
)#end of conditionalPanel
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "nrEvents_sav_lo",
fluidPage(
conditionalPanel(condition = "input.next_init_sav_lo && input.sav_est_go",
fluidRow(
column(width = 12,
box(title = "Potential Non-Routine Events Identification",
width = 12,
solidHeader = T,
status ="info",
box(title = " ",
width =3,
solidHeader = F,
status = "info",
paste("The Potential Non-Routine Events are identified using
statistical multiple change points algorithm.
Change points are considered to be the points
in the time series where a change in the
statistical properties (i.e. change in mean
and/or variance) is observed."),
br(),
hr(),
actionButton("nre_go_sav_lo",
label = "Show Potential Non-Routine Events Identification Results",
width ="100%"),
br(),
hr(),
HTML("<p> <strong> cpts:</strong> Number of detected change points </p>")#,
),# end of box
conditionalPanel(condition = "input.nre_go_sav_lo",
box(title = "",
width = 9,
solidHeader =F,
status ="info",
dataTableOutput("nre_test_tab_sav_lo"),
downloadButton("nre_test_tab_sav_lo_dl", "Download")
)# end of box
) #end of conditionalPanel
)# end of box
)#end of column
),#end of fluidRow
conditionalPanel(condition = "input.nre_go_sav_lo",
fluidRow(
column(width = 12,
column(width = 4),#end of column
column(width = 4,
infoBoxOutput("nreEndBox_sav_lo",width = 12)
),#end of column
column(width = 4)#end of column
)# end of column
),# end of fluidRow
fluidRow(
column(width = 12,
column(width = 4),
column(width = 4,
box(title = "Choose Data to Visualize",
width = 12,
solidHeader = T,
status = "info",
selectInput('nre_vis_sav_lo', 'Data', ""),
actionButton("nre_plot_go_sav_lo",
label = "Plot",
width ="100%")
)# end of box
),#end of column
column(width =4)
),# end of column
conditionalPanel(condition = "input.nre_plot_go_sav_lo",
column(width =2),
column(width = 8,
box(title = "NRE Plots",
width = 12,
solidHeader = T,
status ="info",
dygraphs::dygraphOutput("nre_ts_plot_sav_lo")
)#end of box
),#end of column
column(width =2)
)#end of conditionalPanel
)# end of fluidRow
) #end of conditionalPanel
)#end of conditionalPanel
)#end of fluidPage
),#end of tabItem
tabItem(tabName = "summary_sav",
fluidPage(
conditionalPanel(condition = "input.Train_go_sav || input.next_init_sav_lo",
column(width = 3),
column(width = 6,
box(title = "Summary setup",
width = 12,
solidHeader = T,
status ="info",
box(title = "Summary level",
width =6,
solidHeader = F,
status = "info",
radioButtons("type_summ",
label = h3(""),
choices = list("Portfolio" = 1,
"Building" = 2),
selected = 1)
),# end of box
conditionalPanel(condition = "input.type_summ == 1",
box(title = "Building to include in the summary",
width =6,
solidHeader = F,
status = "info",
radioButtons("level_summ",
label = h3(""),
choices = list("All" = 1,
"Screened" = 2),
selected = 1)
)# end of box
), #end of conditionalPanel
conditionalPanel(condition = "input.type_summ == 2",
box(title = "Choose the Building",
width =6,
solidHeader = F,
status = "info",
selectInput('Res_summ_sav', 'Data', "")
)# end of box
), #end of conditionalPanel
column(width = 12,
column(width = 4),
column(width = 4,
actionButton("summary_go_sav",
label = "Summarize",
width ="100%")
),
column(width = 4)
)#en column
)# end of box
),#end of column
column(width = 3),
conditionalPanel(condition = "input.type_summ == 2 && input.summary_go_sav",
column(width = 12,
valueBoxOutput("R2BoxSav",width = 4),
valueBoxOutput("CVRMSEBoxSav",width = 4),
valueBoxOutput("NMBEBoxSav",width = 4),
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("FsuBoxSav",width = 3),
box("Pre-Installation",
width =6,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("pre_ts_plot_mod_sav_2")
),#end of box
box("Post-Installation",
width =6,
solidHeader = F,
status = "info",
dygraphs::dygraphOutput("post_ts_plot_mod_sav_2")
),#end of box
conditionalPanel(condition = "input.sav_est_go",
valueBoxOutput("SavingsBoxSav",width = 6),
valueBoxOutput("FsBoxSav",width = 6)
)
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("SavRangeBoxSav",width = 6),
# valueBoxOutput("FsRangeBoxSav",width = 6)
),#end column
column(width = 3),
column(width = 6,
conditionalPanel(condition = "input.nre_go_sav || input.nre_go_sav_lo",
valueBoxOutput("NreBoxSav",width = 12)
)
),#end column
column(width = 3)
),#end of conditionalPanel
conditionalPanel(condition = "input.type_summ == 1 &&
input.level_summ == 1 &&
input.summary_go_sav",
column(width = 12,
## ----- Deprecated -----
## exclude the uncertainty calculation
# column(width = 4),
# valueBoxOutput("PortFsuBoxSav",width = 4),
# column(width = 4),
box("Savings Results",
width =12,
solidHeader = F,
status = "info",
plotly::plotlyOutput("bar_plot_sav_error_2")
),#end of box
conditionalPanel(condition = "input.sav_est_go",
valueBoxOutput("PortSavingsBoxSav",width = 6),
valueBoxOutput("PortFsBoxSav",width = 6)
)
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("PortSavRangeBoxSav",width = 6),
# valueBoxOutput("PortFsRangeBoxSav",width = 6)
)#end column
),#end of conditionalPanel
conditionalPanel(condition = "input.type_summ == 1 &&
input.level_summ == 2 &&
input.summary_go_sav",
column(width = 12,
## ----- Deprecated -----
## exclude the uncertainty calculation
# column(width = 4),
# valueBoxOutput("PortFsuBoxSav_2",width = 4),
# column(width = 4),
box("Savings Results",
width =12,
solidHeader = F,
status = "info",
plotly::plotlyOutput("bar_plot_sav_error_3")
),#end of box
conditionalPanel(condition = "input.sav_est_go",
valueBoxOutput("PortSavingsBoxSav_2",width = 6),
valueBoxOutput("PortFsBoxSav_2",width = 6)
)
## ----- Deprecated -----
## exclude the uncertainty calculation
# valueBoxOutput("PortSavRangeBoxSav_2",width = 6),
# valueBoxOutput("PortFsRangeBoxSav_2",width = 6)
)#end column
)#end of conditionalPanel
)#end of conditionalPanel
)#end of fluidPage
)#end of tabItem
)# end of tabItems
)# end of dashboardBody
)#end of dashboardPage
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