Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation
Resumen:
This work presents the training of a Neural Network (NN) using Genetic Algorithm (GA) for medium-term wind and solar power generation forecasts. Wind speed, solar radiation, and other meteorological variables forecasts are provided by a meteorological service and are used as the NN’s inputs. The NN’s output is the generated power forecast. A comparison between the previously used mdel and the new one s shown and future improvements are discussed
| 2018 | |
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Neural networks Wind and solar power midterm generation forecast Genetic algorithm |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/47023 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1875692333101481984 |
|---|---|
| author | Vallejo, Damián |
| author2 | Cornalino, Eliana Chaer, Ruben |
| author2_role | author author |
| author_facet | Vallejo, Damián Cornalino, Eliana Chaer, Ruben |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Vallejo, Damián Cornalino, Eliana Chaer, Ruben |
| dc.date.accessioned.none.fl_str_mv | 2024-11-13T19:24:44Z |
| dc.date.available.none.fl_str_mv | 2024-11-13T19:24:44Z |
| dc.date.issued.es.fl_str_mv | 2018 |
| dc.date.submitted.es.fl_str_mv | 20241113 |
| dc.description.abstract.none.fl_txt_mv | This work presents the training of a Neural Network (NN) using Genetic Algorithm (GA) for medium-term wind and solar power generation forecasts. Wind speed, solar radiation, and other meteorological variables forecasts are provided by a meteorological service and are used as the NN’s inputs. The NN’s output is the generated power forecast. A comparison between the previously used mdel and the new one s shown and future improvements are discussed |
| dc.description.es.fl_txt_mv | Presentado y publicado en IEEE 2018 9th Power, Instrumentation and Measurement Meeting (EPIM 2018) : Renewable Energies for a Sustainable Development, Salto, Uruguay, 14-16 nov 2018 |
| dc.identifier.citation.es.fl_str_mv | Vallejo, D, Cornalino, E, Chaer, R. "Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation" Publicado en: Proceedings of the 9th Power, Instrumentation and Measurement Meeting (EPIM 2018) : Renewable Energies for a Sustainable Development, Salto, Uruguay, 14-16 nov 2018. Doi: 10.1109/EPIM.2018.8756397. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/47023 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Neural networks Wind and solar power midterm generation forecast Genetic algorithm |
| dc.title.none.fl_str_mv | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Presentado y publicado en IEEE 2018 9th Power, Instrumentation and Measurement Meeting (EPIM 2018) : Renewable Energies for a Sustainable Development, Salto, Uruguay, 14-16 nov 2018 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_290befe3e6150b10f4032fd9c6f4ed52 |
| identifier_str_mv | Vallejo, D, Cornalino, E, Chaer, R. "Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation" Publicado en: Proceedings of the 9th Power, Instrumentation and Measurement Meeting (EPIM 2018) : Renewable Energies for a Sustainable Development, Salto, Uruguay, 14-16 nov 2018. Doi: 10.1109/EPIM.2018.8756397. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/47023 |
| publishDate | 2018 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2024-11-13T19:24:44Z2024-11-13T19:24:44Z201820241113Vallejo, D, Cornalino, E, Chaer, R. "Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation" Publicado en: Proceedings of the 9th Power, Instrumentation and Measurement Meeting (EPIM 2018) : Renewable Energies for a Sustainable Development, Salto, Uruguay, 14-16 nov 2018. Doi: 10.1109/EPIM.2018.8756397.https://hdl.handle.net/20.500.12008/47023Presentado y publicado en IEEE 2018 9th Power, Instrumentation and Measurement Meeting (EPIM 2018) : Renewable Energies for a Sustainable Development, Salto, Uruguay, 14-16 nov 2018This work presents the training of a Neural Network (NN) using Genetic Algorithm (GA) for medium-term wind and solar power generation forecasts. Wind speed, solar radiation, and other meteorological variables forecasts are provided by a meteorological service and are used as the NN’s inputs. The NN’s output is the generated power forecast. A comparison between the previously used mdel and the new one s shown and future improvements are discussedMade available in DSpace on 2024-11-13T19:24:44Z (GMT). No. of bitstreams: 5 VCHC2018.pdf: 1438320 bytes, checksum: 05ffe56f9adf464219a6866d1f0291f4 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2018enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Neural networksWind and solar power midterm generation forecastGenetic algorithmGenetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generationPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaVallejo, DamiánCornalino, ElianaChaer, RubenPotenciaEnergía 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- Universidad de la Repúblicafalse |
| spellingShingle | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation Vallejo, Damián Neural networks Wind and solar power midterm generation forecast Genetic algorithm |
| status_str | publishedVersion |
| title | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| title_full | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| title_fullStr | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| title_full_unstemmed | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| title_short | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| title_sort | Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation |
| topic | Neural networks Wind and solar power midterm generation forecast Genetic algorithm |
| url | https://hdl.handle.net/20.500.12008/47023 |
