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Volumn 3, Issue , 2006, Pages 2482-2490

Short-term wind power forecasting using advanced statistical methods

Author keywords

Adaptation; Forecasting; Power curve; Probabilistic forecasts; Uncertainty estimation; Upscaling; Wind farm power curve

Indexed keywords

ADAPTATION; POWER CURVES; PROBABILISTIC FORECASTS; UNCERTAINTY ESTIMATION; UPSCALING;

EID: 84876554399     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (22)
  • 5
    • 84892039456 scopus 로고    scopus 로고
    • Evaluation of the more-care wind power prediction platform. Performance of the fuzzy logic based models
    • EWEC, Madrid
    • Kariniotakis G. and Pinson P. Evaluation of the more-care wind power prediction platform. performance of the fuzzy logic based models. In Proc. of the 2003 European Wind Energy Conference. EWEC, Madrid, 2003.
    • (2003) Proc. of the 2003 European Wind Energy Conference
    • Kariniotakis, G.1    Pinson, P.2
  • 8
    • 33244484530 scopus 로고    scopus 로고
    • Relating the uncertainty of short-term wind speed predictions to meteorological situations with methods from synoptic climatology
    • Madrid, Spain
    • Lange M. and Heinemann D. Relating the uncertainty of short-term wind speed predictions to meteorological situations with methods from synoptic climatology. In Proceedings of the European Wind Energy Conference & Exhibition. Madrid, Spain, 2003. http://www.ewea.org.
    • (2003) Proceedings of the European Wind Energy Conference & Exhibition
    • Lange, M.1    Heinemann, D.2
  • 10
    • 84876552180 scopus 로고    scopus 로고
    • Standardizing the performance evaluation of short-term wind prediction models
    • URL 2006. Submitted. Accepted
    • Madsen H., Pinson P., Kariniotakis G., Nielsen H.A., and Nielsen T.S. Standardizing the performance evaluation of short-term wind prediction models. Wind Engineering, 2006. URL http://www2.imm.dtu.dk/pubdb/p.php?4262. 2006. Submitted. Accepted.
    • (2006) Wind Engineering
    • Madsen, H.1    Pinson, P.2    Kariniotakis, G.3    Nielsen, H.A.4    Nielsen, T.S.5
  • 14
    • 33244496469 scopus 로고    scopus 로고
    • Using quan-tile regression to extend an existing wind power forecasting system with probabilistic forecasts
    • Nielsen H.A., Madsen H., and Nielsen T.S. Using quan-tile regression to extend an existing wind power forecasting system with probabilistic forecasts. Wind Energy, 9:95-108, 2006.
    • (2006) Wind Energy , vol.9 , pp. 95-108
    • Nielsen, H.A.1    Madsen, H.2    Nielsen, T.S.3
  • 19
    • 46149103751 scopus 로고    scopus 로고
    • On-line adaptation of confidence intervals based on weather stability for wind power forecasting
    • Chicago, Illinois, USA
    • Pinson P. and Kariniotakis G. On-line adaptation of confidence intervals based on weather stability for wind power forecasting. In Proceedings of the Global Wind Energy Conference & Exhibition. Chicago, Illinois, USA, 2004. http://www.awea.org.
    • (2004) Proceedings of the Global Wind Energy Conference & Exhibition
    • Pinson, P.1    Kariniotakis, G.2
  • 21
    • 31744451232 scopus 로고    scopus 로고
    • Short-term prediction of wind energy production
    • Sanchez I. Short-term prediction of wind energy production. Int. J. Forecasting, 22:43-56, 2006.
    • (2006) Int. J. Forecasting , vol.22 , pp. 43-56
    • Sanchez, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.