Short-term load forecasting using wavelet transform and support vector machines

This paper presents a new technique in short-term load forecasting (STLF.) The proposed method consists of the discrete wavelet transform (DWT) and support vector machines (SVMs.) The DWT splits up load time series into low and high frequency components to be the features for the SVMs. The SVMs then...

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Main Authors: Pahasa J., Theera-Umpon N.
格式: Conference or Workshop Item
語言:English
出版: 2014
在線閱讀:http://www.scopus.com/inward/record.url?eid=2-s2.0-51349163996&partnerID=40&md5=30dd0babb7310b105c5383385dd2f937
http://cmuir.cmu.ac.th/handle/6653943832/1319
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