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Volumn 12, Issue 1, 2009, Pages 51-62

From probabilistic forecasts to statistical scenarios of short-term wind power production

Author keywords

Forecasting; Multivariate Gaussian random variable; Scenarios; Uncertainty; Wind power

Indexed keywords

COMMERCE; COVARIANCE MATRIX; DECISION MAKING; FORECASTING; RANDOM ERRORS; RANDOM VARIABLES; WIND POWER;

EID: 74149093707     PISSN: 10954244     EISSN: 10991824     Source Type: Journal    
DOI: 10.1002/we.284     Document Type: Article
Times cited : (460)

References (22)
  • 1
    • 85133462095 scopus 로고    scopus 로고
    • Long-term research and development needs for wind energy for the time frame 2000-2020
    • Thor S-E, Weis-Taylor P. Long-term research and development needs for wind energy for the time frame 2000-2020. Wind Energy 2002;5:73-75.
    • (2002) Wind Energy , vol.5 , pp. 73-75
    • Thor, S.-E.1    Weis-Taylor, P.2
  • 2
    • 50849089784 scopus 로고    scopus 로고
    • State of the art on short-term wind power prediction
    • Anemos Project Deliverable Report D1.1, Online. Available
    • Giebel G, Kariniotakis G, Brownsword R. State of the art on short-term wind power prediction. Technical Report, Anemos Project Deliverable Report D1.1, 2003 [Online]. Available: http://anemos.cma.fr.
    • (2003) Technical Report
    • Giebel, G.1    Kariniotakis, G.2    Brownsword, R.3
  • 3
    • 14344258897 scopus 로고    scopus 로고
    • On-line assessment of prediction risk for wind power production forecasts
    • DOI 10.1002/we.114
    • Pinson P, Kariniotakis G. On-line assessment of prediction risk for wind power production forecasts. Wind Energy 2004;7:119-132. (Pubitemid 40290421)
    • (2004) Wind Energy , vol.7 , Issue.2 , pp. 119-132
    • Pinson, P.1    Kariniotakis, G.2
  • 4
    • 34548046411 scopus 로고    scopus 로고
    • PhD Dissertation, Ecole des Mines de Paris, Online. Available:, www.pastel.paristech.org/bib
    • Pinson P. Estimation of the uncertainty in wind power forecasting. PhD Dissertation, Ecole des Mines de Paris, 2006 [Online]. Available: www.imm.dtu.dk/?pp, www.pastel.paristech.org/bib.
    • (2006) Estimation of the Uncertainty in Wind Power Forecasting
    • Pinson, P.1
  • 7
    • 33244491943 scopus 로고    scopus 로고
    • A comparison of a few statistical models for making quantile wind power forecasts
    • DOI 10.1002/we.182
    • Bremnes JB. A comparison of a few statistical models for making quantile wind power forecasts. Wind Energy 2006;9:3-11. (Pubitemid 43281980)
    • (2006) Wind Energy , vol.9 , Issue.1-2 , pp. 3-11
    • Bremnes, J.B.1
  • 8
    • 33748872845 scopus 로고    scopus 로고
    • Calibrated probabilistic forecasting at the stateline wind energy center: The regime-switching space-time method
    • DOI 10.1198/016214506000000456
    • Gneiting T, Larson K, Westrick K, Genton MG, Aldrich E. Calibrated probabilistic forecasting at the stateline wind energy center-The regime-switching space-time method. Journal of the American Statistical Association 2006;101:968-979. (Pubitemid 44422598)
    • (2006) Journal of the American Statistical Association , vol.101 , Issue.475 , pp. 968-979
    • Gneiting, T.1    Larson, K.2    Westrick, K.3    Genton, M.G.4    Aldrich, E.5
  • 9
    • 50949096797 scopus 로고    scopus 로고
    • Probabilistic short-term wind power forecasting for the optimal management of wind generation
    • Lausanne, Switzerland
    • Juban J, Siebert N, Kariniotakis G. Probabilistic short-term wind power forecasting for the optimal management of wind generation. Proceedings of PowerTech 2007, IEEE Conference, Lausanne, Switzerland, 2007.
    • (2007) Proceedings of PowerTech 2007, IEEE Conference
    • Juban, J.1    Siebert, N.2    Kariniotakis, G.3
  • 11
    • 18944371663 scopus 로고    scopus 로고
    • A new approach to quantify reserve demand in systems with significant installed wind capacity
    • DOI 10.1109/TPWRS.2005.846206
    • Doherty R, O'Malley M. A new approach to quantify reserve demand in systems with significant installed wind capacity. IEEE Transactions on Power Systems 2005;20:587-595. (Pubitemid 40699684)
    • (2005) IEEE Transactions on Power Systems , vol.20 , Issue.2 , pp. 587-595
    • Doherty, R.1    O'Malley, M.2
  • 12
  • 14
    • 34548047478 scopus 로고    scopus 로고
    • Trading wind generation from short-term probabilistic forecasts of wind power
    • DOI 10.1109/TPWRS.2007.901117
    • Pinson P, Chevallier C, Kariniotakis G. Trading wind generation with short-term probabilistic forecasts of wind power. IEEE Transactions on Power Systems 2007;22:1148-1156. (Pubitemid 47278373)
    • (2007) IEEE Transactions on Power Systems , vol.22 , Issue.3 , pp. 1148-1156
    • Pinson, P.1    Chevallier, C.2    Kariniotakis, G.N.3
  • 15
    • 50849086251 scopus 로고    scopus 로고
    • PhD Dissertation, Delft University of Technology, Delft, The Netherlands, ISBN 978-90-8570-186-6 Online. Available
    • Papaefthymiou G. Integration of stochastic generation in power systems. PhD Dissertation, Delft University of Technology, Delft, The Netherlands, 2007. ISBN 978-90-8570-186-6 [Online]. Available: http://www.library.tudelft. nl/ws/search/publications/index.htm.
    • (2007) Integration of Stochastic Generation in Power Systems
    • Papaefthymiou, G.1
  • 17
    • 34548156412 scopus 로고    scopus 로고
    • Non-parametric probabilistic forecasts of wind power: Required properties and evaluation
    • DOI 10.1002/we.230
    • Pinson P, Nielsen HAa, Møller JK, Madsen H, Kariniotakis G. Nonparametric probabilistic forecasts of wind power: required properties and evaluation. Wind Energy 2007;10:497-516. (Pubitemid 350273129)
    • (2007) Wind Energy , vol.10 , Issue.6 , pp. 497-516
    • Pinson, P.1    Nielsen, H.Aa.2    Moller, J.K.3    Madsen, H.4    Kariniotakis, G.N.5
  • 19
    • 0002101229 scopus 로고    scopus 로고
    • Correlation and dependence in risk management: Properties and pitfalls
    • Dempster M ed. Cambridge University Press: Cambridge
    • Embrecht P, McNeil A, Straumann D. Correlation and dependence in risk management: properties and pitfalls. In Risk Management: Value at Risk and Beyond. Dempster M (ed.). Cambridge University Press: Cambridge, 2002.
    • (2002) Risk Management: Value at Risk and Beyond
    • Embrecht, P.1    McNeil, A.2    Straumann, D.3
  • 22
    • 0037633668 scopus 로고    scopus 로고
    • Testing normality using kernel methods
    • DOI 10.1080/1048525021000049649
    • Ahmad IA, Mugdadi AR. Testing normality using kernel methods. Journal of Nonparametric Statistics 2003;15:273-288. (Pubitemid 36820488)
    • (2003) Journal of Nonparametric Statistics , vol.15 , Issue.3 , pp. 273-288
    • Ahmad, I.A.1    Mugdadi, A.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.