Deep Learning-Based Optimization of Energy Management for Renewable Microgrids: A Case Study of Saint Martin Island
Funded by CRTEWU (Center for Research and Training, East West University)
This research develops an AI-driven energy management system for Saint Martin Island's microgrid, which currently relies heavily on costly diesel generation. Using deep learning models (RNN, LSTM, CNN) combined with reinforcement learning, the project aims to accurately forecast solar and wind energy generation and demand, optimize battery storage, and enable real-time decision-making — reducing reliance on fossil fuels and improving grid reliability. The work supports Bangladesh's transition toward affordable, clean energy in remote and off-grid communities, aligning with SDG 7.