Electrical Consumption Optimization Based on Clustering of Consumers’ Data Applying K-Means Algorithm

Abstract:

This new era demands the use of electricity in an efficient way. The growth of population and the increasing percentage of urban zones shows several needs for preparing the actual electrical infrastructure to reach higher demands. In this paper, the optimization of consumer’s data is performed through metaheuristic methods. The first step was to determine the higher electricity consumers from K-means algorithm. After identifying the data to be optimized, the Particle Swarm Optimization (PSO) minimized the cost function related to the energy consumption. Finally, conclusions were analyzed from the results of the experiment.

Año de publicación:

2023

Keywords:

• K-Means
• pso
• Cost function
• ENERGY SAVING
• Optimization

Fuente:

scopus