Demand Side

Demand-side management (DSM) focuses on optimizing energy consumption to improve grid stability and integrate renewable sources. Current research emphasizes developing intelligent control systems for residential and community-level energy resources, leveraging reinforcement learning algorithms (including those based on neural networks and decision trees) to manage diverse loads like batteries, electric vehicles, and heat pumps while maintaining user comfort and explainability. These advancements aim to unlock the flexibility inherent in distributed energy resources, improving grid efficiency and reducing carbon emissions. The ultimate goal is to create more resilient and sustainable energy systems through data-driven, adaptable control strategies.