Journal of Electrical Electronics Engineering(JEEE)
ISSN: 2834-4928 | DOI: 10.33140/JEEE
Impact Factor: 1.2
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Machine Learning-Enhanced Smart Grids for Optimizing Electricity Distribution and Reducing Energy Losses
Abstract
Mohammad Parsa Fallah
Smart grids employ advanced technologies to optimize electricity distribution and minimize energy losses. This study proposes a novel machine learning algorithm, integrating smart meter data with environmental variables, to detect electricity theft, achieving an 88% accuracy in simulations. MATLAB based analysis demonstrates a 10% reduction in non-technical losses. Sensors, real-time analytics, and renewable integration enhance grid stability and reduce costs. Case studies validate efficacy, despite challenges like high costs and cybersecurity risks. The proposed approach positions smart grids as a cornerstone for sustainable energy systems.