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    Improving sustainable office building operation by using historical data and linear models to predict energy usage 

    Safa, M.; Safa, Mahdi; Allen, J.; Shahi, A.; Haas, C. T. (Elsevier, 2017-02)
    Offices and retail outlets represent the most intensive energy consumers in the non-residential building sector and have been estimated to account for more than 50% of a building's energy usage. Accurate predictions of ...
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    Competitive intelligence (CI) for evaluation of construction contractors 

    Safa, Mahdi; Shahi, A.; Haas, C. T.; Fiander-McCann, D.; Safa, M.; Hipel, K.; MacGillivray, S. (Elsevier, 2015-11)
    This paper investigates the application of competitive intelligence (CI) techniques for construction contractor selection process, as part of the overall construction contract management. While comprehensive and ongoing ...
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    Author
    Haas, C. T. (2)
    Safa, M. (2)Safa, Mahdi (2)Shahi, A. (2)Allen, J. (1)Fiander-McCann, D. (1)Hipel, K. (1)MacGillivray, S. (1)Keywordartificial neural network (1)Building & Construction (1)competitive intelligence (CI) (1)construction management (1)contract management (1)contractor selection (1)energy auditing (1)energy modelling (1)energy saving (1)linear regression model (1)... View MoreDate Issued2017 (1)2015 (1)
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