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 |