Real-time power scheduling for an isolated microgrid with renewable energy and energy storage system via a supervised-learning-based strategy
This study proposes a supervised-learning-based strategy for real-time power scheduling in isolated microgrids with renewable energy and energy storage systems, showing significant cost reductions and operational efficiency improvements.
May 30, 2024
