Smart Home Energy Scheduling Using MATLAB-Based DSM Optimization

  • Unique Paper ID: 187210
  • PageNo: 5130-5132
  • Abstract:
  • The rapid growth in electricity demand and the increasing integration of renewable energy sources require smart and efficient utilization of electrical power. This project presents a Demand-Side Management (DSM) program for residential consumers using an optimization-based approach. The system schedules household electrical loads dynamically according to electricity tariff variations, user preferences, and available renewable power. MATLAB-based optimization algorithms are used to minimize electricity cost and peak load while ensuring user comfort. The proposed smart scheduling mechanism helps reduce energy bills, improves load balancing on the grid, and enhances sustainability in modern smart grid environments.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{187210,
        author = {Miss. Lakariya Priyanka Sunil and Dr. Tapre Pawan C and Dr. Fareed Ahmad and Mr. Mehere Mayur Kailas},
        title = {Smart Home Energy Scheduling Using MATLAB-Based DSM Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5130-5132},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187210},
        abstract = {The rapid growth in electricity demand and the increasing integration of renewable energy sources require smart and efficient utilization of electrical power. This project presents a Demand-Side Management (DSM) program for residential consumers using an optimization-based approach. The system schedules household electrical loads dynamically according to electricity tariff variations, user preferences, and available renewable power. MATLAB-based optimization algorithms are used to minimize electricity cost and peak load while ensuring user comfort. The proposed smart scheduling mechanism helps reduce energy bills, improves load balancing on the grid, and enhances sustainability in modern smart grid environments.},
        keywords = {},
        month = {November},
        }

Cite This Article

Sunil, M. L. P., & C, D. T. P., & Ahmad, D. F., & Kailas, M. M. M. (2025). Smart Home Energy Scheduling Using MATLAB-Based DSM Optimization. International Journal of Innovative Research in Technology (IJIRT), 12(6), 5130–5132.

Related Articles