Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10400.22/5890
Título: | Short-term Wind Forecasting to Support Virtual Power Player Operation |
Autor: | Ramos, Sérgio Soares, João Pinto, Tiago Vale, Zita |
Palavras-chave: | Virtual power players Profiles |
Data: | Fev-2013 |
Editora: | The European Wind Energy Association - EWEA |
Relatório da Série N.º: | EWEA;2013 |
Resumo: | This paper proposes a wind speed forecasting model that contributes to the development and implementation of adequate methodologies for Energy Resource Man-agement in a distribution power network, with intensive use of wind based power generation. The proposed fore-casting methodology aims to support the operation in the scope of the intraday resources scheduling model, name-ly with a time horizon of 10 minutes. A case study using a real database from the meteoro-logical station installed in the GECAD renewable energy lab was used. A new wind speed forecasting model has been implemented and it estimated accuracy was evalu-ated and compared with a previous developed forecast-ing model. Using as input attributes the information of the wind speed concerning the previous 3 hours enables to obtain results with high accuracy for the wind short-term forecasting. |
URI: | http://hdl.handle.net/10400.22/5890 |
Versão do Editor: | http://proceedings.ewea.org/annual2013/proceedings/index2test.php?page=info2&id2=1218&id=167&ordre=4&tr=&presa=&day=&searchtext=vale&day=&learning=&keyword=&fil2=&fil2&ord1=&sess=#top |
Aparece nas colecções: | ISEP – GECAD – Comunicações em eventos científicos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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COM_SRamos_2013_GECAD.pdf | 821,58 kB | Adobe PDF | Ver/Abrir |
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