메뉴 건너뛰기




Volumn 61, Issue , 2013, Pages 267-274

Multiscale Markov models with random transitions for energy demand management

Author keywords

Demand management; Markov chain; Random transition matrices; Smart Grid; Uncertainty quantification

Indexed keywords

ELECTRICITY-CONSUMPTION; ENERGY DEMAND MANAGEMENTS; HETEROGENEOUS POPULATIONS; MULTISCALE MARKOV MODELS; RANDOM TRANSITION; SMART GRID; UNCERTAINTY MANAGEMENT; UNCERTAINTY QUANTIFICATIONS;

EID: 84875152479     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2013.02.020     Document Type: Article
Times cited : (22)

References (29)
  • 8
    • 1142301701 scopus 로고    scopus 로고
    • Bayesian modeling and forecasting of intraday electricity load
    • DOI 10.1198/016214503000000774
    • R. Cottet, and M. Smith Bayesian modeling and forecasting of intraday electricity load Journal of the American Statistical Association 98 2003 839 849 (Pubitemid 38213973)
    • (2003) Journal of the American Statistical Association , vol.98 , Issue.464 , pp. 839-849
    • Cottet, R.1    Smith, M.2
  • 12
    • 0020142959 scopus 로고
    • Short-term forecasting: A review of procedures in the electricity supply industry
    • D.W. Bunn Short-term forecasting: a review of procedures in the electricity supply industry The Journal of the Operational Research Society 33 1982 533 545
    • (1982) The Journal of the Operational Research Society , vol.33 , pp. 533-545
    • Bunn, D.W.1
  • 13
    • 0023399522 scopus 로고
    • The time series approach to short term load forecasting
    • M.T. Hagan, and S.M. Behr 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
  • 14
    • 0024764917 scopus 로고
    • Analysis and evaluation of five short-term load forecasting techniques
    • DOI 10.1109/59.41700
    • I. Moghram, and S. Rahman Analysis and evaluation of five short-term load forecasting techniques IEEE Transactions on Power Systems 4 1989 1484 1491 (Pubitemid 20629707)
    • (1989) IEEE Transactions on Power Systems , vol.4 , Issue.4 , pp. 1484-1491
    • Moghram Ibrahim1    Rahman Saifur2
  • 15
    • 18544377981 scopus 로고    scopus 로고
    • Support vector machines with simulated annealing algorithms in electricity load forecasting
    • DOI 10.1016/j.enconman.2005.02.004, PII S0196890405000506
    • P.-F. Pai, and W.-C. Hong Support vector machines with simulated annealing algorithms in electricity load forecasting Energy Conversion and Management 46 2005 2669 2688 (Pubitemid 40654933)
    • (2005) Energy Conversion and Management , vol.46 , Issue.17 , pp. 2669-2688
    • Pai, P.-F.1    Hong, W.-C.2
  • 16
    • 0035248045 scopus 로고    scopus 로고
    • Neural networks for short-term load forecasting: A review and evaluation
    • DOI 10.1109/59.910780, PII S0885895001023069
    • H. Hippert, C. Pedreira, and R. Souza Neural networks for short-term load forecasting: a review and evaluation IEEE Transactions on Power Systems 16 2001 44 55 (Pubitemid 32297468)
    • (2001) IEEE Transactions on Power Systems , vol.16 , Issue.1 , pp. 44-55
    • Hippert, H.S.1    Pedreira, C.E.2    Souza, R.C.3
  • 17
    • 21644478686 scopus 로고    scopus 로고
    • Large neural networks for electricity load forecasting: Are they overfitted?
    • DOI 10.1016/j.ijforecast.2004.12.004, PII S016920700400130X
    • H. Hippert, D. Bunn, and R. Souza Large neural networks for electricity load forecasting: are they overfitted? International Journal of Forecasting 21 2005 425 434 (Pubitemid 40935944)
    • (2005) International Journal of Forecasting , vol.21 , Issue.3 , pp. 425-434
    • Hippert, H.S.1    Bunn, D.W.2    Souza, R.C.3
  • 18
    • 43049103081 scopus 로고    scopus 로고
    • A high-resolution domestic building occupancy model for energy demand simulations
    • DOI 10.1016/j.enbuild.2008.02.006, PII S0378778808000467
    • I. Richardson, M. Thomson, and D. Infield A high-resolution domestic building occupancy model for energy demand simulations Energy and Buildings 40 2008 1560 1566 (Pubitemid 351625821)
    • (2008) Energy and Buildings , vol.40 , Issue.8 , pp. 1560-1566
    • Richardson, I.1    Thomson, M.2    Infield, D.3
  • 19
    • 67349088412 scopus 로고    scopus 로고
    • Constructing load profiles for household electricity and hot water from time-use data-modelling approach and validation
    • J. Widen, M. Lundh, I. Vassileva, E. Dahlquist, K. Ellegard, and E. Wackelgard Constructing load profiles for household electricity and hot water from time-use data-modelling approach and validation Energy and Buildings 41 2009 753 768
    • (2009) Energy and Buildings , vol.41 , pp. 753-768
    • Widen, J.1    Lundh, M.2    Vassileva, I.3    Dahlquist, E.4    Ellegard, K.5    Wackelgard, E.6
  • 20
    • 77950861438 scopus 로고    scopus 로고
    • A high-resolution stochastic model of domestic activity patterns and electricity demand
    • J. Widen, and E. Wackelgard A high-resolution stochastic model of domestic activity patterns and electricity demand Applied Energy 87 2010 1880 1892
    • (2010) Applied Energy , vol.87 , pp. 1880-1892
    • Widen, J.1    Wackelgard, E.2
  • 25
    • 67650761091 scopus 로고    scopus 로고
    • Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
    • L.G. Swan, and V.I. Ugursal Modeling of end-use energy consumption in the residential sector: a review of modeling techniques Renewable and Sustainable Energy Reviews 13 2009 1819 1835
    • (2009) Renewable and Sustainable Energy Reviews , vol.13 , pp. 1819-1835
    • Swan, L.G.1    Ugursal, V.I.2
  • 28
    • 24944490963 scopus 로고    scopus 로고
    • An open source power system analysis toolbox
    • DOI 10.1109/TPWRS.2005.851911
    • F. Milano An open source power system analysis toolbox IEEE Transactions on Power Systems 20 2005 1199 1206 (Pubitemid 41300930)
    • (2005) IEEE Transactions on Power Systems , vol.20 , Issue.3 , pp. 1199-1206
    • Milano, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.