Sustainable Energy

Sustainable energy research intensely focuses on optimizing renewable energy integration into existing grids and developing robust, efficient energy systems. Current efforts leverage machine learning, particularly reinforcement learning, neural networks (including recurrent and convolutional architectures), and federated learning, to improve energy forecasting, grid management, and resource allocation across diverse applications like mini-grids and smart homes. These advancements aim to enhance the reliability and affordability of renewable energy sources, ultimately contributing to a more sustainable and environmentally responsible energy future by reducing reliance on fossil fuels and mitigating climate change.