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Short-term power system load forecasting based on improved BP artificial neural network

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2 Author(s)
Zhang Xinbo ; Coll. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou, China ; Chen Jinsai

The accuracy of the forecast of power system loan, which is an important part of the forecast of short-term power system loan, will directly affect the economic of the power systems and its security and stability. The use of artificial neural network could get the similar feature like nonlinear system and use it on the short-term forecast. Researches about adding momentum into the improved BP network and combinating the same type of vague and mapping results when building input networks shows that it has better performance than standard BP algorithms. Meanwhile, after classification the input data categorize and dealing with the linear activate, putting these data to the corresponding sets, the result proved that its accuracy is higher than the standard of artificial neural network.

Published in:

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on  (Volume:1 )

Date of Conference:

10-12 June 2011