Very Short-Term Load Forecasting Based on Neural Network and Rough Set

The short-term load forecasting model based on neural network has been applied widely in energy management systems (EMS) because of its high forecasting accuracy and self-learning ability. But the forecasting errors of the load curve near peaks are large, especially at the large slope difference on...

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Veröffentlicht in:	2010 International Conference on Intelligent Computation Technology and Automation Jg. 3; S. 1132 - 1135
Hauptverfasser:	Pang Qingle, Zhang Min
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2010
Schlagworte:	Artificial neural networks Autoregressive processes Economic forecasting Load forecasting Load modeling Medical services Neural Network Neural networks Power system modeling Power system reliability Predictive models Rough Set Very Short-Term Load Forecasting
ISBN:	9781424472796, 1424472792
Online-Zugang:	Volltext
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