Title :
Medium term electric load forecasting using artificial neural networks
Author_Institution :
Hungarian Power Co. Ltd., Hungary
Abstract :
In the paper artificial neural networks are applied to medium term electric load forecasting for the Hungarian Electric Power System. A feedforward multi-layer network with one hidden layer was applied using the error backpropagation algorithm for the estimation of the model weights. A model description and detailed prediction error analysis are presented.
Keywords :
backpropagation; feedforward neural nets; load forecasting; multilayer perceptrons; power system analysis computing; Hungarian Electric Power System; artificial neural networks; error backpropagation algorithm; feedforward multi-layer network; hidden layer; medium term electric load forecasting; model weights estimation; power system planning; prediction error analysis; Artificial neural networks; Backpropagation algorithms; Error analysis; Load forecasting; Load modeling; Neural networks; Power system modeling; Power system planning; Predictive models; Weather forecasting;
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
DOI :
10.1109/PTC.1999.826468
