Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM-Reference-Cited by-同舟云学术

Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM

Published:2021-01-20 Issue:5 Volume:15 Page:1019-1029
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Wu Qianyu¹,Guan Fei¹,Lv Chen²,Huang Yongzhang¹

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of China

2. China Electric Power Research Institute Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12085

Reference38 articles.

1. Short-Term Wind Speed or Power Forecasting With Heteroscedastic Support Vector Regression

2. Study on the physical approach to wind power prediction;Feng S.;Proc. CSEE,2010

3. A review on short‐term and ultra‐short‐term wind power prediction;Xue Y.;Autom. Electr. Power Syst.,2015

4. Short‐term prediction method of wind speed series based on kalman filtering fusion;Xiu C.;Trans. China Electrotech. Soc.,2014

5. Short term wind speed forecasting based on RVM and ARMA error correcting;Sun G.;Trans. China Electrotech. Soc.,2012

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