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Using regression analysis to predict the future energy consumption of a supermarket in the UK

Author

Listed:
  • Braun, M.R.
  • Altan, H.
  • Beck, S.B.M.

Abstract

The change in climate has led to an interest in how this will affect the energy consumption in buildings. Most of the work in the literature relates to offices and homes. However, this paper investigates a supermarket in northern England by means of a multiple regression analysis based on gas and electricity data for 2012.

Suggested Citation

  • Braun, M.R. & Altan, H. & Beck, S.B.M., 2014. "Using regression analysis to predict the future energy consumption of a supermarket in the UK," Applied Energy, Elsevier, vol. 130(C), pages 305-313.
    • Handle: RePEc:eee:appene:v:130:y:2014:i:c:p:305-313
    DOI: 10.1016/j.apenergy.2014.05.062
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    References listed on IDEAS

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    1. Lam, Joseph C. & Wan, Kevin K.W. & Lam, Tony N.T. & Wong, S.L., 2010. "An analysis of future building energy use in subtropical Hong Kong," Energy, Elsevier, vol. 35(3), pages 1482-1490.
    2. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
    3. Bahman, Ammar & Rosario, Luis & Rahman, Muhammad M., 2012. "Analysis of energy savings in a supermarket refrigeration/HVAC system," Applied Energy, Elsevier, vol. 98(C), pages 11-21.
    4. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
    Full references (including those not matched with items on IDEAS)

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