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Application of Wavelet Neutral Network and Rough Set Theory to Forecast Mid-Long-Term Electric Power Load

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3 Author(s)
Zhigang Ji ; Dept. of the Libr., Hebei Univ. of Eng., Handan ; Peijun Zhang ; Zhiwei Zhao

A new machine learning method-wavelet neutral network was introduced and some of its characteristics were discussed. Rough set and WNN are combined to establish a rough set-based data pre-processing wavelet network model. It effectively overcome the wavelet network does not distinguish importance of property of samples and slow defect in a large number of data processing operations. After linearly scaling and rough sets theory, the data that affect the mid-long-term electric power load were trained by the tools of WNN.

Published in:

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on  (Volume:1 )

Date of Conference:

7-8 March 2009