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

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