Robust real-time energy management for a hydrogen refueling station using generative adversarial imitation learning
This paper presents a generative adversarial imitation learning (GAIL) approach for optimizing real-time energy management of hydrogen refueling stations, demonstrating significant profit improvements.
Nov 1, 2024
An IGDT approach for the multi-objective framework of integrated energy hub with renewable energy sources, hybrid energy storage systems, and biomass-to-hydrogen technology
This paper presents an IGDT-based approach for optimizing the operation of an integrated energy hub with renewable energy, hybrid storage systems, and biomass-to-hydrogen technology.
Jun 1, 2024
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
Multi-objective framework for a home energy management system with the integration of solar energy and an electric vehicle using an augmented ε-constraint method and lexicographic optimization
This study presents a multi-objective framework for a home energy management system (HEMS) integrating solar energy and electric vehicles, optimizing energy cost, peak-to-average ratio (PAR), and discomfort index (DI) through an augmented ε-constraint method and lexicographic optimization.
Jan 1, 2023