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
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