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Volumn 217, Issue , 2015, Pages 193-212

Massive-scale simulation of electrical load in smart grids using generalized additive models

Author keywords

[No Author keywords available]

Indexed keywords

CONSUMER BEHAVIOR; DYNAMIC MODELS; ELECTRIC UTILITIES; FORECASTING; RENEWABLE ENERGY RESOURCES; STOCHASTIC SYSTEMS;

EID: 84931824850     PISSN: 09300325     EISSN: 21977186     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-18732-7_11     Document Type: Conference Paper
Times cited : (6)

References (23)
  • 1
    • 84877758846 scopus 로고    scopus 로고
    • Adaptive learning of smoothing functions: Application to electricity load forecasting
    • In P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, & K. Q. Weinberger (Eds.), Curran Associates, Inc
    • Ba, A., Sinn, M., Goude, Y., & Pompey, P. (2012). Adaptive learning of smoothing functions: Application to electricity load forecasting. In P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, & K. Q. Weinberger (Eds.), Advances in neural information processing systems (Vol. 25, pp. 2519-2527). Curran Associates, Inc.
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 2519-2527
    • Ba, A.1    Sinn, M.2    Goude, Y.3    Pompey, P.4
  • 3
    • 41549141939 scopus 로고    scopus 로고
    • Boosting algorithms: Regularization, prediction and model fitting (with discussion)
    • Biihlmann, P., & Hothorn, T. (2007). Boosting algorithms: Regularization, prediction and model fitting (with discussion). Statistical Science, 22, 477-522.
    • (2007) Statistical Science , vol.22 , pp. 477-522
    • Biihlmann, P.1    Hothorn, T.2
  • 4
    • 33750330972 scopus 로고    scopus 로고
    • Cascade evaluation of clustering algorithms
    • In J. Furnkranz, T. Scheffer, & M. Spiliopoulou (Eds.), Berlin, Volume LNAI 4212 of LNCS, Springer
    • Candillier, L., Tellier, I., Torre, F., & Bousquet, O. (2006). Cascade evaluation of clustering algorithms. In J. Furnkranz, T. Scheffer, & M. Spiliopoulou (Eds.), 17th European conference on machine learning (ECML'2006), Berlin (Volume LNAI 4212 of LNCS, pp. 574-581). Springer.
    • (2006) 17Th European Conference on Machine Learning (ECML'2006) , pp. 574-581
    • Candillier, L.1    Tellier, I.2    Torre, F.3    Bousquet, O.4
  • 6
    • 84931835982 scopus 로고    scopus 로고
    • Results of electricity cost-benefit analysis
    • Commission for Energy Regulation, Commission for Energy Regulation, Dublin
    • Commission for Energy Regulation. (2011). Results of electricity cost-benefit analysis, customer behavior trials and technology trials (Technical report). Commission for Energy Regulation, Dublin.
    • (2011) Customer Behavior Trials and Technology Trials (Technical Report)
  • 7
    • 34250263445 scopus 로고
    • Smoothing noisy data with spline functions: Estimated the correct degree of smoothing by the method of general cross validation
    • Craven, P., & Wahba, G. (1979). Smoothing noisy data with spline functions: Estimated the correct degree of smoothing by the method of general cross validation. Numerische Mathematik, 31, 377-403.
    • (1979) Numerische Mathematik , vol.31 , pp. 377-403
    • Craven, P.1    Wahba, G.2
  • 9
    • 84856253869 scopus 로고    scopus 로고
    • Short-term load forecasting based on a semi-parametric additive model
    • Fan, S., & Hyndman, R. J. (2012). Short-term load forecasting based on a semi-parametric additive model. IEEE Transactions on Power Systems, 27(1), 134-141.
    • (2012) IEEE Transactions on Power Systems , vol.27 , Issue.1 , pp. 134-141
    • Fan, S.1    Hyndman, R.J.2
  • 11
    • 84892603806 scopus 로고    scopus 로고
    • Local short and middle term electricity load forecasting with semi-parametric additive models
    • to appear
    • Goude, Y., Nedellec, R., & Kong, N. (2013, to appear). Local short and middle term electricity load forecasting with semi-parametric additive models. IEEE Transactions on Smart Grid, 5(1), 440-446.
    • (2013) IEEE Transactions on Smart Grid , vol.5 , Issue.1 , pp. 440-446
    • Goude, Y.1    Nedellec, R.2    Kong, N.3
  • 12
    • 84972488102 scopus 로고
    • Generalized additive models (With discussion)
    • Hastie, T., & Tibshirani, R. (1986). Generalized additive models (with discussion). Statistical Science, 1, 297-318.
    • (1986) Statistical Science , vol.1 , pp. 297-318
    • Hastie, T.1    Tibshirani, R.2
  • 15
    • 84875769957 scopus 로고    scopus 로고
    • A highly resolved modeling technique to simulate residential power demand
    • Muratori, M., Roberts, M., Sioshansi, R., Marano, V., & Rizzoni, G. (2013). A highly resolved modeling technique to simulate residential power demand. Applied Energy, 107(C), 465-473.
    • (2013) Applied Energy , vol.107 , pp. 465-473
    • Muratori, M.1    Roberts, M.2    Sioshansi, R.3    Marano, V.4    Rizzoni, G.5
  • 16
    • 84897652851 scopus 로고    scopus 로고
    • Electric load forecasting and backcasting with semi-parametric models
    • to appear
    • Nedellec, R., Cugliari, J., & Goude, Y. (2014, to appear). Electric load forecasting and backcasting with semi-parametric models. International Journal of Forecasting, 30(2), 375-381.
    • (2014) International Journal of Forecasting , vol.30 , Issue.2 , pp. 375-381
    • Nedellec, R.1    Cugliari, J.2    Goude, Y.3
  • 17
    • 33645914413 scopus 로고    scopus 로고
    • A model for generating household electricity load profiles
    • Paatero, J. V., & Lund, P. D. (2006). A model for generating household electricity load profiles. International Journal ofEnergy Research, 30(5), 273-290.
    • (2006) International Journal Ofenergy Research , vol.30 , Issue.5 , pp. 273-290
    • Paatero, J.V.1    Lund, P.D.2
  • 18
    • 84880571965 scopus 로고    scopus 로고
    • Short-term electricity load forecasting with generalized additive models
    • Hersonissos
    • Pierrot, A., & Goude, Y. (2011). Short-term electricity load forecasting with generalized additive models. In Proceedings ofISAP power, Hersonissos (pp. 593-600).
    • (2011) In Proceedings Ofisap Power , pp. 593-600
    • Pierrot, A.1    Goude, Y.2
  • 19
    • 67650761091 scopus 로고    scopus 로고
    • Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
    • Swan, L., & Ugursal, V. (2009). Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renewable and Sustainable Energy Reviews, 13(8), 1819-1835.
    • (2009) Renewable and Sustainable Energy Reviews , vol.13 , Issue.8 , pp. 1819-1835
    • Swan, L.1    Ugursal, V.2
  • 20
    • 0005168922 scopus 로고    scopus 로고
    • Mgcv: GAMs and generalized ridge regression for R
    • Wood, S. (2001). mgcv: GAMs and generalized ridge regression for R. R News, 1(2), 20-25.
    • (2001) R News , vol.1 , Issue.2 , pp. 20-25
    • Wood, S.1
  • 21
    • 4944226585 scopus 로고    scopus 로고
    • Stable and efficient multiple smoothing parameter estimation for generalized additive models
    • Wood, S. (2004). Stable and efficient multiple smoothing parameter estimation for generalized additive models. Journal of the American Statistical Association, 99, 673-686.
    • (2004) Journal of the American Statistical Association , vol.99 , pp. 673-686
    • Wood, S.1
  • 23
    • 78650862532 scopus 로고    scopus 로고
    • Fast stable restricted maximum likelihood and marginal likelihood estimation of semi-parametric generalized linear models
    • Wood, S. (2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semi-parametric generalized linear models. Journal ofthe Royal Statistical Society Series (B), 73(1), 3-36.
    • (2011) Journal Ofthe Royal Statistical Society Series (B) , vol.73 , Issue.1 , pp. 3-36
    • Wood, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.