The mean wake model and its novel characteristic parameter of H-rotor VAWTs based on random forest method
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DOI: 10.1016/j.energy.2021.122456
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- Li, Rui & Zhang, Jincheng & Zhao, Xiaowei, 2022. "Dynamic wind farm wake modeling based on a Bilateral Convolutional Neural Network and high-fidelity LES data," Energy, Elsevier, vol. 258(C).
- Zhang, Yagang & Zhang, Jinghui & Yu, Leyi & Pan, Zhiya & Feng, Changyou & Sun, Yiqian & Wang, Fei, 2022. "A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique," Energy, Elsevier, vol. 254(PC).
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Keywords
Vertical axis wind turbine; Wake model; Wake analysis; Random forest; Feature importance;All these keywords.
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