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Volumn 121, Issue , 2015, Pages 1318-1325

Short-term Prediction of Power Consumption for Large-scale Public Buildings based on Regression Algorithm

Author keywords

Large scale public buildings; Multi linear re gression algorithm; Power consumption prediction; Sub metering

Indexed keywords

AIR CONDITIONING; ALGORITHMS; DECISION MAKING; ELECTRIC POWER UTILIZATION; ENERGY CONSERVATION; ENERGY UTILIZATION; FORECASTING; HISTORIC PRESERVATION; LINEAR REGRESSION;

EID: 84957881822     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2015.09.011     Document Type: Conference Paper
Times cited : (8)

References (10)
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    • Building energy conservation research center, Tsinghua University (BECRC), 2012 Annual report on China building energy efficiency, 2012, 262 pages.
    • (2012) 2012 Annual Report on China Building Energy Efficiency , pp. 262
  • 2
    • 84949663495 scopus 로고    scopus 로고
    • Wei 2010, Energy management in large public buildings & energy-saving diagnosis technique
    • Y. Jiang, and Z.Q. Jiang Wei 2010, Energy management in large public buildings & energy-saving diagnosis technique Construction science and technology 22 2010 20 23
    • (2010) Construction Science and Technology , vol.22 , pp. 20-23
    • Jiang, Y.1    Jiang, Z.Q.2
  • 3
    • 84957886098 scopus 로고    scopus 로고
    • Application of sub-metering data based on the energy efficiency monitoring system
    • X. Chen Application of sub-metering data based on the energy efficiency monitoring system Building energy efficiency 08 2014 86 92
    • (2014) Building Energy Efficiency , vol.8 , pp. 86-92
    • Chen, X.1
  • 4
    • 84860223914 scopus 로고    scopus 로고
    • A review on the prediction of building energy consumption
    • H. Zhao, and F. Magoulès A review on the prediction of building energy consumption Renew Sustain Energy Reviews 16 2012 86 92
    • (2012) Renew Sustain Energy Reviews , vol.16 , pp. 86-92
    • Zhao, H.1    Magoulès, F.2
  • 7
    • 67650761091 scopus 로고    scopus 로고
    • Ismet Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
    • G.U. Lukas Ismet 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
    • Lukas, G.U.1
  • 8
    • 52349093047 scopus 로고    scopus 로고
    • Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
    • H. Alberto Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption Energy and buildings 40 2008 2169 2176
    • (2008) Energy and Buildings , vol.40 , pp. 2169-2176
    • Alberto, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.