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Memorias de investigación
Artículos en revistas:
A dynamic factor model for mid-term forecasting of wind power generation
Año:2013
Áreas de investigación
  • Ingenierías
Datos
Descripción
The main objective of this paper is the development and application of multivariate time series models for forecasting aggregated wind power production in a country or region. Nowadays, increasing in Spain, penetration Denmark of this or Germany kind of there renewable is an energy, somehow to reduce energy dependence on the exterior, but always linked with the increase and uncertainty affecting the prices of fossil fuels. The disposal of accurate predictions of wind power generation is a crucial task both for the System Operator as well as for all the agents of the Market. However, the vast majority of works rarely consider forecasting horizons longer than 48 hours, although they are of interest for the system planning and operation. In this paper we use Dynamic Factor Analysis, adapting and modifying it conveniently, to reach our aim: the computation of accurate forecasts for the aggregated wind power production in a country for a forecasting horizon particularly up to 60 days (2 months). as long as possible, We illustrate this methodology and the results obtained for real data in the leading country in wind power production: Denmark.
Internacional
Si
JCR del ISI
No
Título de la revista
institute-of-electrical-and-electronics-engineers
ISSN
0018-9219
Factor de impacto JCR
Información de impacto
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
7
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Carolina Silvia Garcia Martos (UPM)
  • Autor: Maria Jesus Sanchez Naranjo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Estadística computacional y Modelado estocástico
  • Centro o Instituto I+D+i: CENTRO INV. TECNO. FERROVIARIAS "CITEF"
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
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