Genetic Algorithm Based Whole Life Cycle Cost Prediction Model for Wind Farms-Reference-Cited by-同舟云学术

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Genetic Algorithm Based Whole Life Cycle Cost Prediction Model for Wind Farms

Published:2023-12-15 Issue: Volume:47 Page:429-433
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
language:
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Author:

Ma Chi¹,Qi Liangcai¹,Wang Yongli²,Zhang Siwen²,Li Yuyang²,Jia Shuting²

Affiliation:

1. China Guanghe Wind Power Co., Ltd,Beijing,China

2. North China Electric Power University,Faculty of Economics and Management,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512920.pdf?arnumber=10512920

Reference7 articles.

1. Short-term wind power prediction based on small habitat genetic algorithm and radial basis agent model[J/OL];Peihan;Journal of Solar Energy,2023

2. Ultrashort-term wind power prediction based on spatio-temporal attention convolution model[J/OL];Yunlong;Grid Technology,2023

3. Short-term wind power prediction based on screening and optimal combination of sensitive meteorological characteristic factors[J];Ma;Grid Technology,2023

4. Multi-step wind speed prediction algorithm for multiple wind turbines based on spatio-temporal attention-Seq2Seq model[J];Changliang;Journal of Solar Energy,2023

5. Optimization of offshore wind farm layout under geometric constraints[J];Zhang;Journal of Solar Energy,2023

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