Comparison and Evaluation of Multiple Neural Network Models in Wind Power Generation Forecasting-Reference-Cited by-同舟云学术

Comparison and Evaluation of Multiple Neural Network Models in Wind Power Generation Forecasting

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)
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Author:

Luo Junlai¹,Hao Junhong¹,Yang Yunxi¹,Hong Feng²,Wang Xingce¹,Ge Zhihua¹

Affiliation:

1. North China Electric Power University,Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education, School of Energy Power and Mechanical Engineering,Beijing,China,102206

2. North China Electric Power University,The State Key Laboratory of Alternate Electric Power System With Renewable Energy Sources,Beijing,China,102206

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10081933/10081944/10082416.pdf?arnumber=10082416

Reference18 articles.

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5. CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production;agga;Electric Power Systems Research,2022

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