Application of Artificial Neural Networks and Fuzzy logic Methods for Short Term Load Forecasting

Abstract

AbstractAccurate load forecasting is a great help for electric companies to make the best decisions in terms of unit commitment, generation and maintenance planning, etc. It is necessary that electric generation companies have prior knowledge of future demand with great accuracy. Some data mining algorithms play the greater role to predict the load forecasting. This paper investigates the application of artificial neural networks (ANN) and fuzzy logic (FL) as forecasting tools for predicting the load demand in short term category. In this case the forecasting is day ahead and it is observed that ANN represents the more accurate results in comparison to FL. Finally application of ANN in medium term load forecasting is implemented and the results are compared