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Article: Artificial Neural Networks based wake model for power prediction of wind farm
Title | Artificial Neural Networks based wake model for power prediction of wind farm |
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Authors | |
Issue Date | 2021 |
Citation | Renewable Energy, 2021, v. 172, p. 618-631 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/309376 |
DC Field | Value | Language |
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dc.contributor.author | Ti, Z | - |
dc.contributor.author | Deng, X | - |
dc.contributor.author | Zhang, M M | - |
dc.date.accessioned | 2021-12-29T02:14:14Z | - |
dc.date.available | 2021-12-29T02:14:14Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Renewable Energy, 2021, v. 172, p. 618-631 | - |
dc.identifier.uri | http://hdl.handle.net/10722/309376 | - |
dc.language | eng | - |
dc.relation.ispartof | Renewable Energy | - |
dc.title | Artificial Neural Networks based wake model for power prediction of wind farm | - |
dc.type | Article | - |
dc.identifier.email | Deng, X: xwdeng@hku.hk | - |
dc.identifier.authority | Deng, X=rp02223 | - |
dc.identifier.hkuros | 331167 | - |
dc.identifier.volume | 172 | - |
dc.identifier.spage | 618 | - |
dc.identifier.epage | 631 | - |