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Volumn 251, Issue 2, 2016, Pages 522-530

Forecasting day-ahead electricity load using a multiple equation time series approach

Author keywords

Intra day load correlation; Modelling seasonality; Short term load forecasting

Indexed keywords

BENCHMARKING; COMMERCE; ELECTRIC POWER PLANT LOADS; FORECASTING; NONLINEAR EQUATIONS; POWER MARKETS; TIME SERIES;

EID: 84954290240     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2015.12.030     Document Type: Article
Times cited : (104)

References (27)
  • 1
    • 55349088880 scopus 로고    scopus 로고
    • A smooth transition periodic autoregressive (stpar) model for short-term load forecasting
    • Energy Forecasting
    • Amaral L.F., Souza R.C., and Stevenson M. A smooth transition periodic autoregressive (stpar) model for short-term load forecasting International Journal of Forecasting 24 2008 603 615 Energy Forecasting.
    • (2008) International Journal of Forecasting , vol.24 , pp. 603-615
    • Amaral, L.F.1    Souza, R.C.2    Stevenson, M.3
  • 2
    • 33646342226 scopus 로고    scopus 로고
    • Day-ahead price forecasting of electricity markets by a new fuzzy neural network
    • Amjady N. Day-ahead price forecasting of electricity markets by a new fuzzy neural network IEEE Transactions on Power Systems 21 2006 887 896
    • (2006) IEEE Transactions on Power Systems , vol.21 , pp. 887-896
    • Amjady, N.1
  • 3
    • 33947319336 scopus 로고    scopus 로고
    • Short-term bus load forecasting of power systems by a new hybrid method
    • Amjady N. Short-term bus load forecasting of power systems by a new hybrid method IEEE Transactions on Power Systems 22 2007 333 341
    • (2007) IEEE Transactions on Power Systems , vol.22 , pp. 333-341
    • Amjady, N.1
  • 4
    • 55349121825 scopus 로고    scopus 로고
    • Forecasting the electricity load from one day to one week ahead for the Spanish system operator
    • Cancelo J.R., Espasa A., and Grafe R. Forecasting the electricity load from one day to one week ahead for the Spanish system operator International Journal of Forecasting 24 2008 588 602
    • (2008) International Journal of Forecasting , vol.24 , pp. 588-602
    • Cancelo, J.R.1    Espasa, A.2    Grafe, R.3
  • 6
    • 0002715074 scopus 로고    scopus 로고
    • Forecasting the short-term demand for electricity: Do neural networks stand a better chance?
    • Darbellay G.A., and Slama M. Forecasting the short-term demand for electricity: Do neural networks stand a better chance? International Journal of Forecasting 16 2000 71 83
    • (2000) International Journal of Forecasting , vol.16 , pp. 71-83
    • Darbellay, G.A.1    Slama, M.2
  • 8
    • 38249025912 scopus 로고
    • Merging short-and long-run forecasts: An application of seasonal cointegration to monthly electricity sales forecasting
    • Engle R.F., Granger C.W.J., and Hallman J.J. Merging short-and long-run forecasts: an application of seasonal cointegration to monthly electricity sales forecasting Journal of Econometrics 40 1989 45 62
    • (1989) Journal of Econometrics , vol.40 , pp. 45-62
    • Engle, R.F.1    Granger, C.W.J.2    Hallman, J.J.3
  • 9
    • 24944485152 scopus 로고    scopus 로고
    • Short-term load forecasting, profile identification, and customer segmentation: A methodology based on periodic time series
    • Espinoza M., Joye C., Belmans R., and De Moor B. Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series IEEE Transactions on Power Systems 20 2005 1622 1630
    • (2005) IEEE Transactions on Power Systems , vol.20 , pp. 1622-1630
    • Espinoza, M.1    Joye, C.2    Belmans, R.3    De Moor, B.4
  • 10
    • 84856253869 scopus 로고    scopus 로고
    • Short-term load forecasting based on a semi-parametric additive model
    • Fan S., and Hyndman R. Short-term load forecasting based on a semi-parametric additive model IEEE Transactions on Power Systems 27 2012 134 141
    • (2012) IEEE Transactions on Power Systems , vol.27 , pp. 134-141
    • Fan, S.1    Hyndman, R.2
  • 12
    • 0023399522 scopus 로고
    • The time series approach to short term load forecasting
    • Hagan M.T., and Behr S.M. The time series approach to short term load forecasting IEEE Transactions on Power Systems 2 1987 785 791
    • (1987) IEEE Transactions on Power Systems , vol.2 , pp. 785-791
    • Hagan, M.T.1    Behr, S.M.2
  • 16
    • 84878012427 scopus 로고    scopus 로고
    • Modeling special-day effects for forecasting intraday electricity demand
    • Kim M.S. Modeling special-day effects for forecasting intraday electricity demand European Journal of Operational Research 230 2013 170 180
    • (2013) European Journal of Operational Research , vol.230 , pp. 170-180
    • Kim, M.S.1
  • 18
    • 47049114471 scopus 로고    scopus 로고
    • Development of improved adaptive approaches to electricity demand forecasting
    • Pedregal D.J., and Young P.C. Development of improved adaptive approaches to electricity demand forecasting The Journal of the Operational Research Society 59 2008 1066 1076
    • (2008) The Journal of the Operational Research Society , vol.59 , pp. 1066-1076
    • Pedregal, D.J.1    Young, P.C.2
  • 19
    • 0028531339 scopus 로고
    • Electricity load and temperature: Issues in dynamic specification
    • Peirson J., and Henley A. Electricity load and temperature: issues in dynamic specification Energy Economics 16 1994 235 243
    • (1994) Energy Economics , vol.16 , pp. 235-243
    • Peirson, J.1    Henley, A.2
  • 21
    • 55349147976 scopus 로고    scopus 로고
    • Modeling and forecasting short-term electricity load: A comparison of methods with an application to brazilian data
    • Soares L.J., and Medeiros M.C. Modeling and forecasting short-term electricity load: a comparison of methods with an application to brazilian data International Journal of Forecasting 24 2008 630 644
    • (2008) International Journal of Forecasting , vol.24 , pp. 630-644
    • Soares, L.J.1    Medeiros, M.C.2
  • 22
    • 0000000540 scopus 로고
    • A fast estimation method for the vector autoregressive moving average model with exogenous variables
    • Spliid H. A fast estimation method for the vector autoregressive moving average model with exogenous variables Journal of the American Statistical Association 78 1983 843 849
    • (1983) Journal of the American Statistical Association , vol.78 , pp. 843-849
    • Spliid, H.1
  • 23
    • 0043246006 scopus 로고    scopus 로고
    • Short-term electricity demand forecasting using double seasonal exponential smoothing
    • Taylor J.W. Short-term electricity demand forecasting using double seasonal exponential smoothing Journal of the Operational Research Society 54 2003 799 805
    • (2003) Journal of the Operational Research Society , vol.54 , pp. 799-805
    • Taylor, J.W.1
  • 24
    • 70449687714 scopus 로고    scopus 로고
    • Triple seasonal methods for short-term electricity demand forecasting
    • Taylor J.W. Triple seasonal methods for short-term electricity demand forecasting European Journal of Operational Research 204 2010 139 152
    • (2010) European Journal of Operational Research , vol.204 , pp. 139-152
    • Taylor, J.W.1
  • 25
    • 84856296455 scopus 로고    scopus 로고
    • Short-term load forecasting with exponentially weighted methods
    • Taylor J.W. Short-term load forecasting with exponentially weighted methods IEEE Transactions on Power Systems 27 2012 458 464
    • (2012) IEEE Transactions on Power Systems , vol.27 , pp. 458-464
    • Taylor, J.W.1
  • 26
    • 36348992080 scopus 로고    scopus 로고
    • Short-term load forecasting methods: An evaluation based on european data
    • Taylor J.W., and McSharry P.E. Short-term load forecasting methods: an evaluation based on european data IEEE Transactions on Power Systems 22 2007 2213 2219
    • (2007) IEEE Transactions on Power Systems , vol.22 , pp. 2213-2219
    • Taylor, J.W.1    McSharry, P.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.