Electrical Load Forecasting using Evolutionary Algorithms: A Review and Taxonomy

Abstract

Due to increasing number of consumers, managing electrical load has become a serious challenge. Hence a good estimation of electrical load is necessary for smooth conduction of power systems. Previously statistical models were used for the prediction of electrical load, but with the advent of evolutionary algorithms, load forecasting using such approaches has become an active area of research. The present paper introduces the need of electrical load prediction and subsequently the use of evolutionary algorithms. Different techniques and their properties are presented here for a clear understanding of the tools being used.Finally the evaluation parameters are discussed which is evaluate the performance of any proposed system.