Development of a Smart Energy Management System Using Machine Learning and Solar panels

Espinoza G.A.E.; Valencia M.A.S.; Velásquez C.B.H. · SSRG International Journal of Electronics and Communication Engineering (2025) · DOI: 10.14445/23488549/ijece-v12i4p110

Resumen

Households should use good and efficient energy management practices to minimize energy consumption and maximize the use of renewable energy sources. This paper describes a novel approach to regulating household energy consumption that combines solar panels and machine learning approaches. The suggested system estimates energy demand and solar power generation with high accuracy using past data on energy consumption and weather forecasts. The machine learning model dynamically adjusts energy usage patterns and storage solutions, thereby maximizing solar energy utilization and minimizing grid dependency. In addition, the local grid tariff cost is compared to determine the time required in which the implemented system becomes self-sufficient. Simulation results demonstrate significant improvements in energy efficiency and cost savings for residential users.

Instituciones: Universidad Nacional de San Agustín de Arequipa