Energy Market

The energy market is undergoing a significant transformation driven by the increasing integration of renewable energy sources like solar and wind power. Current research focuses on optimizing energy grid operations and market participation using advanced techniques such as reinforcement learning (RL), particularly with hierarchical architectures and federated learning approaches, to manage the intermittency of renewables and improve efficiency. This involves developing sophisticated models for predicting locational marginal pricing, optimizing energy storage bidding strategies, and designing decentralized, privacy-preserving energy trading mechanisms. These advancements aim to enhance grid stability, reduce costs, and promote a more sustainable and equitable energy system.