M&V2.0 Using R and Shiny

acf_plot | Residual autocorrelation plot |

act_plot | Plot of the actual pre or post installation data |

act_vs_fit_plot | actual vs. fitted scatter plot |

axis_range | Compute plot axis range for two different data files (e.g,... |

clean_eload | Clean the elaod data |

clean_Temp | Clean the Temperature data |

clean_Temp_2 | Clean the Temperature data |

convert_15min_to_1_hour | Convert 15 minute interval data into hourly interval data |

cpt_det | Function to detect potential non-routine events |

cpt_save_plot | Plot the residual/savings and the identified change points in... |

create_date_var | Create an input variable corresponding to given intervals |

cusum_plot | Plot the CUSUM |

daily_cusum_barplot | Plot the daily CUSUM |

daily_save_barplot | BarPlot the daily savings |

data_load | Load data into the shiny application |

days_off_var | Create a new binary variable based on the dates of days off... |

detect_interval | Compute the granularity of the time series |

eload_heatmap | Eload heatmap |

eload_vs_input_plot | eload vs. Temperature scatter plot |

errors_vs_input_plot | errors vs. Temperature scatter plot |

gbm_baseline | Gradient boosting machine baseline model function. |

gbm_tune | Gradient boosting machine tuning function. |

k_dblocks_cv | K-fold-day cross validation function. |

k_wblocks_cv | K-fold-week cross validation function. |

load_session | load a session |

monthly_cusum_barplot | BarPlot the monthly CUSUM |

monthly_save_barplot | BarPlot the monthly savings |

nre_eval | Function to identify change points in the whole dataset |

number_of_days | Compute number of days in the data |

portfolio_savings | Portfolio Savings summary |

post_plot | Plot of the post-installation period data |

pred_accuracy | Prediction accuracy metrics computation |

pre_plot | Plot of the pre-installation period data |

ratio_missing | Estimate the ration of missing data |

save_plot | Plot the residual in the prediction period |

save_predictions | Predictions Data Savings |

save_session | Save a session |

savings | Function to calculate the savings of the post period. |

savings_heatmap | Savings heatmap |

savings_results_plot | Savings barplot |

savings_summary | Savings summary |

screen_pie_plot | Screening pie plot |

screen_summary | Screening summary |

time_features | Extract features from the time |

time_format | Convert the timestamps into the default format |

to_exclude | Exclude data from given intervals |

to_extract | Extract data from given intervals |

towt_baseline | Time Of the Week and Temperature baseline model function. |

towt_time_var | Convert the time format |

train_model | Train Baseline models |

train_model_summary | Baseline models results summary |

weekly_cusum_barplot | BarPlot the weekly CUSUM |

weekly_save_barplot | BarPlot the weekly savings |

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