University of Houston

New AI Model Predicts Battery Decay to Make Renewable Energy More Reliable

University of Houston researchers developed an AI model to forecast battery aging in grid-scale storage, factoring temperature, charge rates, and usage. It uses efficient neural networks for real-time planning, boosting reliability for solar/wind integration. Could cut costs and extend battery life.