Techniques

This paper proposes a neural network approach for forecasting short- term loads. Three ANN- techniques – Radial Basis Function Neural Network, Feed forward Neural Network and Cascade- Forward Neural Network are discussed in this paper. Their performances are evaluated through a simulation study. Historical Load Data from the Load Dispatch Centre Jabalpur are used for training, testing and showing the good performance of the proposed method. The proposed model can forecast the load profile with a lead time of one to seven days