Energy System

Energy system research focuses on optimizing the efficiency, reliability, and sustainability of energy production, distribution, and consumption. Current research emphasizes the development and application of advanced machine learning models, including neural networks (e.g., MLPs, CNNs), reinforcement learning, and evolutionary algorithms, to address challenges such as integrating renewable energy sources, managing complex integrated energy systems, and improving forecasting accuracy. These efforts aim to enhance grid stability, reduce operational costs, and facilitate the transition to cleaner energy sources, impacting both scientific understanding and practical energy management strategies.