Short-term Load Forecasting Using Artificial Neural Network

This paper presents a new neural network training algorithm which reduces the required training time considerably and overcomes many of the shortcomings presented by the conventional back-propagation algorithm. The algorithm uses a modified form of the back-propagation algorithm to minimize the mean squared error between the desired and actual outputs with respect to the inputs to the nonlinearities. Artificial Neural Network (ANN) model using the new algorithm is applied to forecast the short-term electric load. Inputs to the ANN are past loads and the output of the ANN is the hourly load forecast for a given day.

[1]  D. P. Lijesen,et al.  Adaptive Forecasting of Hourly Loads Based on Load Measurements and Weather Information , 1971 .

[2]  W. R. Christiaanse.  Short-Term Load Forecasting Using General Exponential Smoothing , 1971 .

[3]  A. K. Mahalanabis,et al.  Recursive short-term load-forecasting algorithm , 1974 .

[4]  C.E. Asbury.  Weather load model for electric demand and energy forecasting , 1975, IEEE Transactions on Power Apparatus and Systems.

[5]  H. P. van Meeteren,et al.  Short-term Load Prediction With A Combination Of Different Models , 1979 .

[6]  Suri Vemuri,et al.  On-Line Algorithms for Forecasting Hourly Loads of an Electric Utility , 1981, IEEE Transactions on Power Apparatus and Systems.

[7]  A. Mahmoud,et al.  Load Forecasting Bibliography Phase II , 1981, IEEE Transactions on Power Apparatus and Systems.

[8]  Masatoshi Nakamura.  Short Term Load Forecasting Using Weekday Load Models and Bias Models , 1984 .

[9]  G. Gross,et al.  Short-term load forecasting , 1987, Proceedings of the IEEE.

[10]  PAUL J. WERBOS,et al.  Generalization of backpropagation with application to a recurrent gas market model , 1988, Neural Networks.

[11]  Saifur Rahman,et al.  An expert system based algorithm for short term load forecast , 1988 .

[12]  P. A. Fishwick.  Neural network models in simulation: a comparison with traditional modeling approaches , 1989, WSC '89.

[13]  Hecht-Nielsen.  Theory of the backpropagation neural network , 1989 .

[14]  Dejan J. Sobajic,et al.  Artificial Neural-Net Based Dynamic Security Assessment for Electric Power Systems , 1989, IEEE Power Engineering Review.

[15]  Kwang Y. Lee,et al.  A study on neural networks for short-term load forecasting , 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

[16]  Robert J. Marks,et al.  Electric load forecasting using an artificial neural network , 1991 .

[17]  Jae Hong Park,et al.  Composite modeling for adaptive short-term load forecasting , 1991 .