Smart grid techniques to optimize energy consumption using edge computing with particle swarm optimization algorithm

Abstract

Smart grids are a modern technology solution that aims to improve resource management and energy efficiency. This paper discusses the application of the Particle Swarm Optimization PSO algorithm to improve energy consumption efficiency in smart grids, focusing on integrating Mobile Edge Computing MEC to enhance performance. The PSO algorithm is reviewed to improve load distribution and demand response, which leads to increased efficiency and reduced energy costs. The results of using the MEC algorithm in the advanced environment indicate good improvements of 25% in energy consumption and the prediction accuracy reached 95% with the help of smart grids.