Why Your Lights Stay On: Enhance Electricity Demand Forecast with Machine Learning Models

Have you ever wondered how power is delivered instantly every time you flip on a light switch? Even if you don’t always know when you’ll need electricity, how do power plants prepare for it? Unlike commodities that can be stored on shelves, electricity must be delivered in real time. Behind the scenes, the grid relies on delicate demand forecasts to make this possible. With rising demand, unpredictable weather, and the growing penetration of renewable energy, one increasingly important tool is machine learning. This article explores how machine learning models are helping the grid enhance the forecasts and keep the lights on.