Energy Management System

Energy management systems (EMS) aim to optimize energy consumption and production, primarily focusing on minimizing costs, emissions, and peak demand while maximizing renewable energy integration. Current research emphasizes developing sophisticated algorithms, including reinforcement learning (particularly multi-agent and meta-learning approaches), and advanced optimization techniques like dynamic programming and model predictive control, often within hierarchical or distributed control architectures. These advancements are crucial for improving the efficiency and sustainability of various sectors, from smart grids and renewable energy communities to individual buildings and data centers, by enabling better resource allocation and coordination.