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
Real-time energy scheduling for home energy management systems with an energy storage system and electric vehicle based on a supervised-learning-based strategy
This paper presents a supervised-learning-based Home Energy Management System (HEMS) that optimizes household energy costs by forecasting demand and scheduling energy storage and electric vehicle operations, significantly improving efficiency.
Sep 15, 2023