Two‐stage short‐term wind power forecasting algorithm using different feature-learning models

Two‐stage short‐term wind power forecasting algorithm using different feature-learning models

Two-stage ensemble-based forecasting methods have been studied extensively in the wind power forecasting field. However, deep learning-based wind power forecasting studies have not investigated two aspects. In the first stage, different learning structures considering multiple inputs and multiple ou...

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Bibliographic Details
Main Authors:	Jiancheng Qin, Jin Yang, Ying Chen, Qiang Ye, Hua Li
Format:	Article
Language:	English
Published:	KeAi Communications Co. Ltd. 2021-07-01
Series:	Fundamental Research
Subjects:	Wind power forecasting Deep neural networks Ensemble learning Extrapolation
Online Access:	http://www.sciencedirect.com/science/article/pii/S266732582100100X

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