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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Vydáno v:	2010 International Conference on Intelligent Computation Technology and Automation Ročník 3; s. 1132 - 1135
Hlavní autoři:	Pang Qingle, Zhang Min
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.05.2010
Témata:	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
On-line přístup:	Získat plný text
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