Short-Term Power Forecasting for Wind Power Generation Under Extreme Weather Conditions-Reference-Cited by-同舟云学术

Short-Term Power Forecasting for Wind Power Generation Under Extreme Weather Conditions

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
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Author:

Song Yuexin¹,Chen Yizhi²,Tang Chenghong²,Wang Wei²,Xiao Hao³,Pei Wei³,Yang Yanhong³

Affiliation:

1. Institute of Electrical Engineering, Chinese Academy of Sciences,Grid Technology Research Group,Beijing,China

2. NARI Technology Co., Ltd NARI Group Corporation (State Grid Electric Power Research Institute),State Key Laboratory of Smart Grid Protection and Control,Nanjing,China

3. Chinese Academy of Sciences, Institute of Electrical Engineering,Beijing,China

Funder

State Grid Corporation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294329/10294332/10295042.pdf?arnumber=10295042

Reference21 articles.

1. Study on Prediction of Wind Turbine Output Power Considering PCA-LSTM;ming;Machinery Design & Manufacture,2022

2. Wind farm icing loss forecast pertinent to winter extremes

3. The Maximum Output Model of Wind Turbine and Its Control Strategy under Severe Wind Conditions;xiangning;Proceedings of the CSEE,2020

4. Combined Approach for Short-term Wind Power Forecasting Under Cold Weather With Small Sample;lin;Proceedings of the CSEE,2023

5. A Novel Energy Management Method for Networked Multi-Energy Microgrids Based on Improved DQN

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