An Improved RBF Neural Network for Short Term Load Forecasting
2014 ◽
Vol 1008-1009
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pp. 709-713
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Keyword(s):
Neural network is widely used in the load forecasting area,but the traditional methods of load forecasting usually base on static model,which cannot change as time goes on. And the accuracy is worse and worse. To solve the problem, a dynamic neural network model for load forecasting is proposed .By way of introduce Error discriminant function, to control the error of load forecasting and dynamically modify the predicting model. Through the contrast of the short-term load forecasting result based on static neural network model and dynamic neural network model proposed, the error of load forecasting is decrease effectively.
Keyword(s):
2010 ◽
Vol 20-23
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pp. 612-617
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2020 ◽
Vol 2020
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pp. 1-10
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Keyword(s):
1996 ◽
Vol 143
(5)
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pp. 500
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Keyword(s):