A review on the prediction of building energy consumption

Hai-xiang Zhao and Frédéric Magoulès

Renewable and Sustainable Energy Reviews, 2012, vol. 16, issue 6, 3586-3592

Abstract: The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and characteristics, the operation of sub-level components like lighting and HVAC systems, occupancy and their behavior. This complex situation makes it very difficult to accurately implement the prediction of building energy consumption. This paper reviews recently developed models for solving this problem, which include elaborate and simplified engineering methods, statistical methods and artificial intelligence methods. Previous research work concerning these models and relevant applications are introduced. Based on the analysis of previous work, further prospects are proposed for additional research reference.

Keywords: Prediction; Building; Energy consumption; Engineering methods; Statistical models; Artificial intelligence (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (280)

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DOI: 10.1016/j.rser.2012.02.049

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