Demand response (DR) programs incentivize electric grid users to consume less power during peak hours, relieving grid load and reducing CO2 emissions. However, its potential as a practical approach remains unverified. Now, scientists propose an AI-based approach to estimate the DR potential per household based on real-world user behavior, demonstrating that DR programs are beneficial for customers, suppliers, and the environment.
