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Volumn 2, Issue , 2010, Pages 263-267

BP neural network for the prediction of urban building energy consumption based on Matlab and its application

Author keywords

BP algorithm; Macro model; MATLAB; Micro model; Urban building energy consumption prediction

Indexed keywords

AIRCONDITIONING SYSTEMS; BP ALGORITHM; BP NEURAL NETWORKS; BUILDING ENERGY; BUILDING ENERGY CONSUMPTION; ELECTRICITY DEMANDS; ENERGY CONSUMPTION; MACRO MODEL; MATLAB IMPLEMENT; MICRO MODELS; MULTI-LAYER FEED FORWARD; PREDICTION MODEL; SIMULATION MODEL; URBAN BUILDINGS; URBAN DEVELOPMENT;

EID: 77951200719     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCMS.2010.118     Document Type: Conference Paper
Times cited : (19)

References (6)
  • 1
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    • June
    • Xia Dong-liang, Gong Yan-feng, "Prediction Model of Urban Building Energy Consumption Based on BP Neural Network with Multi-rules & Real-time Training," Building Science.pp. 91-94, June 1955.
    • (1955) Building Science , pp. 91-94
    • Xia, D.-L.1    Gong, Y.-F.2
  • 2
    • 77951200014 scopus 로고    scopus 로고
    • BP Neural Net Work Based Prediction of Building Energy Consumption
    • December
    • He Lei, "BP Neural Net Work Based Prediction of Building Energy Consumption, " Zhejiang Construction, pp 48-50, December 2008.
    • (2008) Zhejiang Construction , pp. 48-50
    • He, L.1
  • 3
    • 77951184190 scopus 로고    scopus 로고
    • Prediction of Building Energy Consumption with Grey Neural Network Method based on Weather Thermal Comfort
    • October
    • Zhang Fu-ren," Prediction of Building Energy Consumption with Grey Neural Network Method based on Weather Thermal Comfort," Building Science.pp.50-52,October 2007.
    • (2007) Building Science , pp. 50-52
    • Zhang, F.-R.1
  • 4
    • 0033879856 scopus 로고    scopus 로고
    • Artificial neural networks for the prediction of the energy consumption of a passive solar building
    • May
    • Soteris A, Kalogirou a, and Milorad Bojic," Artificial neural networks for the prediction of the energy consumption of a passive solar building," Energy.pp. 479-491, May 2000.
    • (2000) Energy , pp. 479-491
    • Soteris, A.1    Kalogirou, A.2    Bojic, M.3
  • 5
    • 0000042059 scopus 로고
    • Artificial neural network demonstration for automated generation of energy use predictors for commercial buildings
    • Haberl JS, Nelson RM, Culp CC, editors, ASHRAE
    • Kreider JF, Wang XA,"Artificial neural network demonstration for automated generation of energy use predictors for commercial buildings," In: Haberl JS, Nelson RM, Culp CC, editors, The use of artificial intelligence in building systems. ASHRAE, 1995,pp.193-198.
    • (1995) The Use of Artificial Intelligence in Building Systems , pp. 193-198
    • Kreider, J.F.1    Wang, X.A.2
  • 6
    • 60249090242 scopus 로고    scopus 로고
    • Prediction of building energy consumption by using artificial neural networks
    • Betul Bektas Ekici, U.Teoman Aksoy," Prediction of building energy consumption by using artificial neural networks," Advances in Engineering Software. Vol.40, pp. 356-362, 2009.
    • (2009) Advances in Engineering Software , vol.40 , pp. 356-362
    • Ekici, B.B.1    Aksoy, U.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.