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Volumn 68, Issue , 2013, Pages 20-27

Development and validation of a simplified online cooling load prediction strategy for a super high-rise building in Hong Kong

Author keywords

Commercial building; Correlation identification; Online load prediction; Weather prediction

Indexed keywords

BUILDING ENERGY; BUILDING LOAD; CHILLER PLANTS; COMMERCIAL BUILDING; COMPUTATION LOADS; COOLING LOAD; HISTORICAL DATA; HONG KONG OBSERVATORIES; HONG-KONG; LOAD PREDICTIONS; LOAD PROFILES; ON-LINE APPLICATIONS; ON-LINE LOAD PREDICTIONS; PREDICTION ERRORS; SUPER HIGH-RISE BUILDING; WEATHER DATA; WEATHER PREDICTION;

EID: 84873628009     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2013.01.002     Document Type: Article
Times cited : (45)

References (15)
  • 1
    • 77951619578 scopus 로고    scopus 로고
    • Model-based optimal start control strategy for multi-chiller plants in commercial buildings
    • Y.J. Sun, S.W. Wang, and G.S. Huang Model-based optimal start control strategy for multi-chiller plants in commercial buildings Build Serv Eng Res Technol 31 2 2010 113 129
    • (2010) Build Serv Eng Res Technol , vol.31 , Issue.2 , pp. 113-129
    • Sun, Y.J.1    Wang, S.W.2    Huang, G.S.3
  • 2
    • 79952783600 scopus 로고    scopus 로고
    • A study of the importance of occupancy to building cooling load in prediction by intelligent approach
    • Simon.S.K. Kwok, and Eric.W.M. Lee A study of the importance of occupancy to building cooling load in prediction by intelligent approach Energy Convers Manage 52 7 2011 2555 2564
    • (2011) Energy Convers Manage , vol.52 , Issue.7 , pp. 2555-2564
    • Kwok, Simon.S.K.1    Lee, Eric.W.M.2
  • 3
    • 0346509534 scopus 로고    scopus 로고
    • Utilizing transfer function method for hourly cooling load calculations
    • Omar.M.A. Al-Rabghi, and Khalid.M. Al-Johani Utilizing transfer function method for hourly cooling load calculations Energy Convers Manage 38 4 1997 319 332
    • (1997) Energy Convers Manage , vol.38 , Issue.4 , pp. 319-332
    • Al-Rabghi, Omar.M.A.1    Al-Johani, Khalid.M.2
  • 4
    • 1642323621 scopus 로고    scopus 로고
    • Cooling load prediction for buildings using general regression neural networks
    • A.E. Ben-Nakhi, and M.A. Mahmoud Cooling load prediction for buildings using general regression neural networks Energy Convers Manage 45 2004 2127 2141
    • (2004) Energy Convers Manage , vol.45 , pp. 2127-2141
    • Ben-Nakhi, A.E.1    Mahmoud, M.A.2
  • 5
    • 56349138129 scopus 로고    scopus 로고
    • Prediction of energy demands using neural network with model identification by global optimization
    • R. Yokoyama, T. Wakui, and R. Satake Prediction of energy demands using neural network with model identification by global optimization Energy Convers Manage 50 2 2009 319 327
    • (2009) Energy Convers Manage , vol.50 , Issue.2 , pp. 319-327
    • Yokoyama, R.1    Wakui, T.2    Satake, R.3
  • 6
    • 33745156525 scopus 로고    scopus 로고
    • Cooling-load prediction by the combination of rough set theory and an artificial neural-network based on data-fusion technique
    • DOI 10.1016/j.apenergy.2005.08.006, PII S0306261905001315
    • Z.J. Hou, Z.W. Lian, Y. Yao, and X.J. Yuan Cooling-load prediction by the combination of rough set theory and an artificial neural-network based on data-fusion technique Appl Energy 83 2006 1033 1046 (Pubitemid 43903089)
    • (2006) Applied Energy , vol.83 , Issue.9 , pp. 1033-1046
    • Hou, Z.1    Lian, Z.2    Yao, Y.3    Yuan, X.4
  • 7
    • 0032495104 scopus 로고    scopus 로고
    • A comparative study of medium-weather-dependent load forecasting using enhanced artificial/fuzzy neural network and statistical techniques
    • DOI 10.1016/S0925-2312(98)00076-9, PII S0925231298000769
    • M.M. Elkateb, K. Solaiman, and Y. Al-Turki A comparative study of medium weather-dependent load forecasting using enhanced artificial/fuzzy neural network and statistical techniques Neurocomputing 23 1998 3 13 (Pubitemid 28558980)
    • (1998) Neurocomputing , vol.23 , Issue.1-3 , pp. 3-13
    • Elkateb, M.M.1    Solaiman, K.2    Al-Turki, Y.3
  • 8
    • 64849083683 scopus 로고    scopus 로고
    • Applying support vector machine to predict hourly cooling load in the building
    • Q. Li, Q.L. Meng, J.J. Cai, H. Yoshino, and A. Mochida Applying support vector machine to predict hourly cooling load in the building Appl Energy 86 2009 2249 2256
    • (2009) Appl Energy , vol.86 , pp. 2249-2256
    • Li, Q.1    Meng, Q.L.2    Cai, J.J.3    Yoshino, H.4    Mochida, A.5
  • 9
    • 56049088473 scopus 로고    scopus 로고
    • Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
    • Q. Li, Q.L. Meng, J.J. Cai, H. Yoshino, and A. Mochida Predicting hourly cooling load in the building: a comparison of support vector machine and different artificial neural networks Energy Convers Manage 50 2009 90 96
    • (2009) Energy Convers Manage , vol.50 , pp. 90-96
    • Li, Q.1    Meng, Q.L.2    Cai, J.J.3    Yoshino, H.4    Mochida, A.5
  • 10
    • 71849087954 scopus 로고    scopus 로고
    • A data-driven approach for steam load prediction in buildings
    • A. Kusiak, M.Y. Li, and Z.J. Zhang A data-driven approach for steam load prediction in buildings Appl Energy 87 2010 925 933
    • (2010) Appl Energy , vol.87 , pp. 925-933
    • Kusiak, A.1    Li, M.Y.2    Zhang, Z.J.3
  • 11
    • 0036163187 scopus 로고    scopus 로고
    • An inverse gray-box model for transient building load prediction
    • J.E. Braun, and N. Chaturvedi An inverse gray-box model for transient building load prediction HVAC&R Res 8 1 2002 73 99 (Pubitemid 34125219)
    • (2002) HVAC and R Research , vol.8 , Issue.1 , pp. 73-99
    • Braun, J.E.1    Chaturvedi, N.2
  • 12
    • 31444445721 scopus 로고    scopus 로고
    • Simplified building model for transient thermal performance estimation using GA-based parameter identification
    • S.W. Wang, and X.H. Xu Simplified building model for transient thermal performance estimation using GA-based parameter identification Int J Therm Sci 45 2006 419 432
    • (2006) Int J Therm Sci , vol.45 , pp. 419-432
    • Wang, S.W.1    Xu, X.H.2
  • 13
    • 61449163288 scopus 로고    scopus 로고
    • A grey-box model of next-day building thermal load prediction for energy-efficient control
    • Q. Zhou, S.W. Wang, X.H. Xu, and F. Xiao A grey-box model of next-day building thermal load prediction for energy-efficient control Int J Energy Res 30 2008 1418 1431
    • (2008) Int J Energy Res , vol.30 , pp. 1418-1431
    • Zhou, Q.1    Wang, S.W.2    Xu, X.H.3    Xiao, F.4
  • 14
    • 84870589898 scopus 로고    scopus 로고
    • The use of occupancy space electrical power demand in building cooling load prediction
    • M.C. Leung, Norman C.F. Tse, L.L. Lai, and T.T. Chow The use of occupancy space electrical power demand in building cooling load prediction Energy Build 55 2012 151 163
    • (2012) Energy Build , vol.55 , pp. 151-163
    • Leung, M.C.1    Tse, N.C.F.2    Lai, L.L.3    Chow, T.T.4
  • 15
    • 0037411416 scopus 로고    scopus 로고
    • Climatic effects on cooling load determination in subtropical regions
    • Danny H.W. Li, S.L. Wong, and J.C. Lam Climatic effects on cooling load determination in subtropical regions Energy Convers Manage 44 11 2003 1831 1843
    • (2003) Energy Convers Manage , vol.44 , Issue.11 , pp. 1831-1843
    • Li, D.H.W.1    Wong, S.L.2    Lam, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.