Improving Smart Home Energy Management Using Genetic Algorithms
Author(s): Dr. Harjeet Singh
Authors Affiliations:
Associate Professor, Department of Computer Science and Engineering
Baba Farid College of Engineering and Technology, Bathinda-India
The aim of this paper is to discuss the optimization of HEMS by the use of GAs. It analyzes key parameters like population size, mutation rate, and crossover rate that are directly influencing the speed of convergence and quality of the solutions in this study that implements the system using the DEAP library in Python. The research provides the practical application of GAs in addressing real-world energy management challenges. Furthermore, it suggests that further enhancement of the effectiveness of these algorithms can be achieved through hybrid techniques and adaptive tuning, thus promising an approach toward improving energy efficiency and reducing costs.
Dr. Harjeet Singh(2025); Improving Smart Home Energy Management Using Genetic Algorithms, International Journal of Research Culture Society, ISSN(O): 2456-6683, Volume – 9, Issue – 2., Pp.71-79. Available on – https://ijrcs.org/
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