ELARGOUBI, Fatima Zohra (EEIS-Lab, ENSET Mohammedia, Hassan II University, Casablanca, Mo), CHAKIR, Houssam eddine (University Hassan II), EL KHAILI, Mohamed (Hassan II University of Casablanca Morocco), Choukri, Karim (Hassan II University of Casablanca Morocco), Ettaoussi, Mehdi (ESGB, UM6SS, Casablanca), MRICHA, Rabia (LESE-Lab, ENSEM Casablanca, Hassan II University, Casablanca, Mo)

Advancements in Home Energy Management Systems: A Review of Energy Optimization Strategies and Algorithmic Approaches

Scheduled for presentation during the Invited Session "Advanced Control Techniques for Energy Conversion Systems-3" (ThuS3T3), Thursday, July 11, 2024, 16:30−16:50, Session room 3

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

The Home Energy Management Systeme optimizes electricity usage, reduces costs, and limits CO2 emissions by using advanced algorithms to improve Peak-to-average Ratio (PAR) and dynamically adjust energy consumption. By using Services Category (Load Shifting, Valley Filling. . . ), households significantly improve their energy efficiency resulting in substantial savings. Integrating smoothly with smart grids, HEMS enables real-time monitoring, empowering owners to make informed energy consumption choices. The incorporation of renewable energy sources further enhances their impact, reducing dependence on traditional grids and contributing to a collective reduction in CO2 emissions. HEMS are crucial tools for sustainable and efficient residential energy management, especially in a future of smart grids and environmentally friendly lifestyles. In this article, we carry out a comparative study of the different algorithms used in the field of Home Energy Management (HEMS) to promote sustainable residential energy consumption. We highlight the goals, results, and limitations of each algorithm.