Short-Term Wind Power Forecasting Based on Wavelet Transform and Machine Learning Approach

Short-Term Wind Power Forecasting Based on Wavelet Transform and Machine Learning Approach

碩士 === 國立成功大學 === 電機工程學系 === 102 === Due to high uncertainty and fast fluctuations of wind speed, in the power system with high penetration of wind power generation, spinning reserve scheduling and power dispatching are two major problems encountered. To achieve the purposes, wind power forecasting...

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Bibliographic Details
Main Authors:	Darvin Y.Roberts, 洛達文
Other Authors:	Hong-Tzer Yang
Format:	Others
Language:	en_US
Published:	2014
Online Access:	http://ndltd.ncl.edu.tw/handle/38629985524733499913

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