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Volumn , Issue , 2010, Pages

Load forecasting for the efficient energy management of HVAC systems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; COOLING LOAD; DATA SETS; DISTINCTIVE FEATURES; HEATING , VENTILATING , AND AIR-CONDITIONING; HVAC SYSTEM; INTERNAL LOADS; LARGE DATA; LIMITED DATA; LOAD ESTIMATION; LOAD FORECASTING; LOAD PREDICTIONS; LOWER COST; SIMULATION RESULT; THERMAL STORAGE TECHNOLOGY;

EID: 79851473244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSET.2010.5684414     Document Type: Conference Paper
Times cited : (13)

References (10)
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    • Ekici, B.B.1    Aksoy, U.T.2
  • 4
    • 52349093047 scopus 로고    scopus 로고
    • Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
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    • (2008) Energy and Buildings , vol.40 , Issue.12 , pp. 2169-2176
    • Neto, A.H.1    Fiorelli, F.A.S.2
  • 5
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    • Simplified building model for transient thermal performance estimation using GA-based parameter identification
    • DOI 10.1016/j.ijthermalsci.2005.06.009, PII S1290072905001614
    • S. Wang, X. Xu. Simplified building model for transient thermal performance estimation using GA-based parameter identification. International Journal of Thermal Sciences, 45(4):419-432, 2006. (Pubitemid 43152374)
    • (2006) International Journal of Thermal Sciences , vol.45 , Issue.4 , pp. 419-432
    • Wang, S.1    Xu, X.2
  • 6
    • 25844500264 scopus 로고    scopus 로고
    • On-line building energy prediction using adaptive artificial neural networks
    • DOI 10.1016/j.enbuild.2005.02.005, PII S0378778805000502
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    • (2005) Energy and Buildings , vol.37 , Issue.12 , pp. 1250-1259
    • Yang, J.1    Rivard, H.2    Zmeureanu, R.3
  • 7
    • 33646523343 scopus 로고    scopus 로고
    • An innovative air-conditioning load forecasting model based on RBF neural network and combined residual error correction
    • Y. Yao, Z. Lian, Z. Hou, W. Liu. An innovative air-conditioning load forecasting model based on RBF neural network and combined residual error correction. International Journal of Refrigeration, 29(4):528-538, 2006.
    • (2006) International Journal of Refrigeration , vol.29 , Issue.4 , pp. 528-538
    • Yao, Y.1    Lian, Z.2    Hou, Z.3    Liu, W.4
  • 8
    • 61449163288 scopus 로고    scopus 로고
    • A grey-box model of next-day building thermal load prediction for energy-efficient control
    • Q. Zhou, S. Wang, X. Xu, F. Xiao. A grey-box model of next-day building thermal load prediction for energy-efficient control. International Journal of Energy Research, 32(15):1418-1431, 2008.
    • (2008) International Journal of Energy Research , vol.32 , Issue.15 , pp. 1418-1431
    • Zhou, Q.1    Wang, S.2    Xu, X.3    Xiao, F.4
  • 9
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    • DESIGNBUILDER. http://www.designbuilder.co.uk/.
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    • EnergyPlus


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.