In the era of the Fourth Industrial Revolution, the utilization of IoT technologies has greatly simplified the process of acquiring building performance data. However, when it comes to analyzing building performance, especially in Energy Audits and Retro-commissioning (RCx), the issue of poor data quality persists. This poor data quality can result in misinterpretation of the situation, thus impeding the identification of decarbonization opportunities and potentially causing an increase in operating costs. This paper will delve into a comprehensive framework for assessing data quality.
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Leung et al. (2024) studied this question.
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