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

Internet

https://www.mdpi.com/1996-1073/12/11/2205

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