plotDailyProfilesOverview: Plot Daily Profiles Overview

In hslu-ige-laes/redutils: Utility Functions for the Analysis and Visualization of Comfort and Energy Data in R

Plot Daily Profiles Overview

Description

Plot a Graph with Daily Energy Consumption Profiles by Weekday and Season

Usage

plotDailyProfilesOverview(
  data,
  locTimeZone = "UTC",
  main = "Daily Profiles Overview by Weekday and Season",
  ylab = "Energy Consumption (kWh/h)",
  xlab = "Energy Consumption (kWh/h)",
  col = "black",
  confidence = 95,
  func = "sum",
  seasonlab = c("Winter", "Spring", "Summer", "Fall")
)

Arguments

data	Dataset to use for plot, minimum 1 hour aggregated. Must be a data.frame with "timestamp YmdHMS, energy consumption"
locTimeZone	Time zone of timestamp, default "UTC"
main	Main title of plot, default "Before/After Optimization"
ylab	y-axis title, default "Energy Consumption (kWh/month)"
xlab	x-axis title, default "Hour of day"
col	Line colour of median value, default "black"
confidence	Confidence interval for upper ribbon in percent (lower is calculated automatically), default 95 percent
func	Function for data aggregation per hour, either "sum", "mean" or "median", default "sum"
seasonlab	Season labels, concatenated strings with 4 seasons, default c("Winter","Spring","Summer","Fall")

Value

Returns a ggplot object

Examples

data <- readRDS(system.file("sampleData/eboBookEleMeter.rds", package = "redutils"))
plotDailyProfilesOverview(data, locTimeZone = "Europe/Zurich")

hslu-ige-laes/redutils documentation built on July 6, 2024, 12:45 a.m.