A Review and Taxonomy on Data Driven Models for Estimating Electrical Load for Power Systems

A Review and Taxonomy on Data Driven Models for Estimating Electrical Load for Power Systems

Richa Kumari, Devendra Sharma, Dr.Vikas Gupta, Vasant Acharya

Technocrats Institute of Technology & Science,

Bhopal

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 evaluation parameters are discussed which evaluate the performance of any proposed system.

Keywords:-

Electrical Load Forecasting, evolutionary algorithms, iterations, mean absolute percentage error, mean square error.