Joint Point-Interval Prediction and Optimization of Wind Power Considering the Sequential Uncertainties of Stepwise Procedure

Joint Point-Interval Prediction and Optimization of Wind Power Considering the Sequential Uncertainties of Stepwise Procedure

To support high-level wind energy utilization, wind power prediction has become a more and more attractive topic. To improve prediction accuracy and flexibility, joint point-interval prediction of wind power via a stepwise procedure is studied in this paper. Firstly, time-information-granularity (TI...

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Bibliographic Details
Main Authors:	Yang Hu, Yilin Qiao, Jingchun Chu, Ling Yuan, Lei Pan
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Series:	Energies
Subjects:	Gaussian process regression hybrid PSO-DE optimization joint point-interval prediction stepwise prediction of wind power ultra-short-term prediction uncertainty transmission
Online Access:	https://www.mdpi.com/1996-1073/12/11/2205

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