Energy demand forecasting is an important capability for network-related services such as utilities and energy. Demand forecasting allows for network optimization and reduction of outages due to peak load. This directory contains R (Microsoft ML Server) codes for Energy Demand Forecasting Template with SQL Server ML Services.
The script main.R can be run from an R IDE, which will go through each step of the model development process of this template.
The following scripts are included:

Script name	Description
dataPreparation.R	Fill missing data in the historical dataset
featureEngineering.R	Compute features including month of year, hour of day, weekday/weekend, linear trend, Fourier components, lag, etc.
trainModel.R	Train a Random Forest Regression model using the high performance analytics algorithm rxDForest in Microsoft ML Server (MRS)
main.R	Step by step demonstration of the model development process