A novel two-stage data-driven model for ultra-short-term wind speed prediction

A novel two-stage data-driven model for ultra-short-term wind speed prediction

Accurate prediction of wind speed and its output power is playing an essential role in the planning and scheduling of wind power grid. This study presents a novel two-stage data-driven model for ultra-short-term wind speed prediction based on the smoothing spline preprocessing (SSP) method and error...

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Bibliographic Details
Main Authors:	Weicheng Hu, Qingshan Yang, Pei Zhang, Ziting Yuan, Hua-Peng Chen, Hongtao Shen, Tong Zhou, Kunpeng Guo, Tian Li
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Energy Reports
Subjects:	Ultra-short-term prediction Wind speed Smoothing spline preprocessing Error optimization theory
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722013130

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