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Predicting Building Energy Consumption using Engineering and Data Driven Approaches: A Review

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  • Aulon Shabani
  • Orion Zavalani

Abstract

Rapid growth of world population has higher impact on increasing buildings energy consumption. Therefore, improving energy consumption is an important concern for building engineers and operators. Energy management through forecasting approaches as one of most effective methods is in focus of this paper. Review of most elaborated methods is in our focus, where we investigate two main directions of energy prediction approaches. First category of approaches focuses on engineering methods mainly very reliable on building early operation stages and design phase, meanwhile second category go through data driven methods. Existing research works focused on these two models are introduced emphasizing advantages and relevant applications of methods.

Suggested Citation

  • Aulon Shabani & Orion Zavalani, 2017. "Predicting Building Energy Consumption using Engineering and Data Driven Approaches: A Review," European Journal of Engineering and Technology Research, European Open Science, vol. 2(5), pages 44-49, May.
    • Handle: RePEc:epw:ejeng0:v:2:y:2017:i:5:id:60352
    DOI: 10.24018/ejeng.2017.2.5.352
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    References listed on IDEAS

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    Cited by:

    1. Aulon Shabani & Lindita Dhamo & Orion Zavalani, 2023. "Modelling Building Energy Systems using Electric Circuit Analogy," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 7(1), pages 56-61, January.

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