A practical approach to electric load forecasting using artificial neural networks with corrective filtering

This paper presents the practical application of an artificial neural network to the power system load forecasting problem. This work examines the training, testing, and operation of a simple neural network. Furthermore, a method for improving the prediction accuracy of a forecasting neural network...

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Bibliographische Detailangaben

Hauptverfasser:	Voss, L.D., Salama, M.M.A., Reeve, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Economic forecasting Feedforward systems Load forecasting Multilayer perceptrons Neural networks Neurons Predictive models Testing Training data
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