Home Energy Management System Based on Genetic Algorithm for Load Scheduling: A Case Study Based on Real Life Consumption Data

Home Energy Management System Based on Genetic Algorithm for Load Scheduling: A Case Study Based on Real Life Consumption Data

This paper proposes a home energy management system able to achieve optimized load scheduling for the operation of appliances within a given household. The system, based on the genetic algorithm, provides recommendations for the user to improve the way the energy needs of the home are handled. These...

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Bibliographic Details
Main Authors: Reda El Makroum, Ahmed Khallaayoun, Rachid Lghoul, Kedar Mehta, Wilfried Zörner
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
home energy management
load scheduling
genetic algorithm
user comfort
Online Access:https://www.mdpi.com/1996-1073/16/6/2698

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https://www.mdpi.com/1996-1073/16/6/2698

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