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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
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dc.contributor | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.contributor.author | Rodriguez Rangel, Hector |
dc.contributor.author | Flores, J |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.author | Morales, L |
dc.contributor.author | Guerra, A |
dc.contributor.author | Calderon, F |
dc.date | 2017 |
dc.identifier.citation | Rodriguez-Rangel, H., Flores, J., Puig, V., Morales, L., Guerra, A., Calderon, F. Wind speed time series reconstruction using a hybrid neural genetic approach. A: International Conference on New Energy and Future Energy Sytem. "NEFES 2017: 2nd International Conference on New Energy and Future Energy System September 22nd - 25th, 2017, Kunming, Yunnan, China". 2017, p. 1-9. |
dc.identifier.citation | 10.1088/1755-1315/93/1/012020 |
dc.identifier.uri | http://hdl.handle.net/2117/113914 |
dc.language.iso | eng |
dc.relation | http://iopscience.iop.org/article/10.1088/1755-1315/93/1/012020/meta |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject | Wind power |
dc.subject | Clean energy |
dc.subject | Energia eòlica |
dc.subject | Energies renovables |
dc.title | Wind speed time series reconstruction using a hybrid neural genetic approach |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract |