New PSO-SVM Short-Term Wind Power Forecasting Algorithm Based on the CEEMDAN Model

New PSO-SVM Short-Term Wind Power Forecasting Algorithm Based on the CEEMDAN Model

Accurate wind power forecasting can help reduce disturbance to the grid in wind power integration. In this paper, a short-term power forecasting model is established by using complete ensemble empirical mode decomposition adaptive noise (CEEMDAN) and nonlinear fitting characteristics of support vect...

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Bibliographic Details
Main Authors:	Hong You, Shixiong Bai, Rui Wang, Zhixiong Li, Shuchen Xiang, Feng Huang
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Journal of Electrical and Computer Engineering
Online Access:	http://dx.doi.org/10.1155/2022/7161445
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