DocumentCode
1679626
Title
Medium term electric load forecasting using artificial neural networks
Author
Varga, L.
Author_Institution
Hungarian Power Co. Ltd., Hungary
fYear
1999
Firstpage
37
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location
Budapest, Hungary
Print_ISBN
0-7803-5836-8
Type
conf
DOI
10.1109/PTC.1999.826468
Filename
826468
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