Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting

Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting

Studies have demonstrated that changes in the climate affect wind power forecasting under different weather conditions. Theoretically, accurate prediction of both wind power output and weather changes using statistics-based prediction models is difficult. In practice, traditional machine learning mo...

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Bibliographic Details
Main Authors: Wen-Hui Lin, Ping Wang, Kuo-Ming Chao, Hsiao-Chung Lin, Zong-Yu Yang, Yu-Huang Lai
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
renewable energy
wind power forecasting
deep learning network
temporal convolutional network
long short-term memory
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Online Access:https://doaj.org/article/76f14cb35b3b4ddc91491d89be934c58
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https://doaj.org/article/76f14cb35b3b4ddc91491d89be934c58

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