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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2021-07-01
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Series: | Fundamental Research |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266732582100100X |