Comparison of two new short-term wind-power forecasting systems

  1. Ramirez-Rosado, I.J. 2
  2. Fernandez-Jimenez, L.A. 1
  3. Monteiro, C. 3
  4. Sousa, J. 3
  5. Bessa, R. 3
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  3. 3 Universidade Do Porto
    info

    Universidade Do Porto

    Oporto, Portugal

    ROR https://ror.org/043pwc612

Erakutsi afiliazioak +
Aldizkaria:
Renewable Energy

ISSN: 0960-1481

Argitalpen urtea: 2009

Alea: 34

Zenbakia: 7

Orrialdeak: 1848-1854

Mota: Artikulua

DOI: 10.1016/J.RENENE.2008.11.014 SCOPUS: 2-s2.0-60949099322 WoS: WOS:000264739200023 GOOGLE SCHOLAR

Beste argitalpen batzuk: Renewable Energy

Laburpena

This paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by two independent research teams. The input variables used in both systems were the same: forecasted meteorological variable values obtained from a numerical weather prediction model; and electric power-generation registers from the SCADA system of the wind farm. Both systems are described in detail and the forecasting results compared, revealing great similarities, although the proposed structures of the two systems are different. The forecast horizon for both systems is 72 h, allowing the use of the forecasted values in electric market operations, as diary and intra-diary power generation bid offers, and in wind-farm maintenance planning. © 2008 Elsevier Ltd. All rights reserved.