A novel interval prediction method in wind speed based on deep learning and combination prediction

A novel interval prediction method in wind speed based on deep learning and combination prediction

Abstract The combined method for interval forecasting (CMIF) is proposed for improved real-time prediction of wind speed uncertainty to facilitate wind turbine operation and power grid dispatching. Time-varying filtering for empirical mode decomposition and phase space reconstruction are used to dec...

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Bibliographic Details
Main Authors: XueJun Chen, Tao Han, Peng Cheng, Xuanfang Da
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Wind speed
Interval forecasting
Deep learning
Combination forecasting
Multi-objective optimization algorithm
Online Access:https://doi.org/10.1038/s41598-025-03188-0
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https://doi.org/10.1038/s41598-025-03188-0

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