Descripción
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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
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JCR del ISI
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institute-of-electrical-and-electronics-engineers |
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0018-9219 |
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