Energy Demand Forecasting for Utilities - SAS

Extreme weather events, fluctuating demand patterns, and the rise of electric vehicles have introduced new challenges for utility companies. To maintain grid stability and ensure customers receive reliable power, utilities must improve their ability to predict electricity demand in real time.

SAS Energy Forecasting Cloud helps power companies optimize their forecasting models by leveraging AI and machine learning to analyze vast amounts of operational, weather, and energy consumption data from smart meters and IoT-connected devices. The solution automates data ingestion, model building, and forecasting, allowing utilities to generate highly accurate load and renewable generation forecasts without requiring data science expertise.

By systematically considering hundreds of factors, SAS delivers precise short- and long-term energy forecasts, helping utilities make better decisions for grid management, trading, and regulatory compliance. With a proven track record of achieving mean absolute percentage errors (MAPEs) of 2% or less, SAS Energy Forecasting Cloud ensures utilities can confidently plan for changing demand patterns and optimize energy distribution.