2021
DOI: 10.1016/j.enbuild.2021.110757
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eplusr: A framework for integrating building energy simulation and data-driven analytics

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Cited by 25 publications
(10 citation statements)
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“…However, all case studies are governed by the same basic heat transfer mechanisms: conduction, radiation, and convection. Therefore, a simple enough analysis case study can be defined, in addition to simulation, it can also be solved through analysis [36].…”
Section: Analytical Verificationmentioning
confidence: 99%
“…However, all case studies are governed by the same basic heat transfer mechanisms: conduction, radiation, and convection. Therefore, a simple enough analysis case study can be defined, in addition to simulation, it can also be solved through analysis [36].…”
Section: Analytical Verificationmentioning
confidence: 99%
“…Most CFD analyses of building envelopes have focused on general envelopes; thus, a high degree of difficulty is expected. As unsteady calculations are important for design, energy simulation (ES) is suitable for these calculations and has been used in many studies, including those for energy calculations [3,4]. Moreover, CFD is suitable for approaching complex shapes.…”
Section: Introductionmentioning
confidence: 99%
“…This building information not only allows the reduction in energy waste, but also the increase in energy savings, improving building efficiency [1]. Building Energy Simulation (BES), a computer-based analytical process, is one of the most used alternatives to understand the energy performance and environmental impact of buildings due to its variety of tools and retrofit alternatives [2]. BES could help in the identification of environmental issues in buildings, especially in the last stage of the design [3], and is mainly used in the prediction and analysis of building energy consumption [4].…”
Section: Introductionmentioning
confidence: 99%
“…Data obtained through BES or BEMS become relevant information when a data-driven analytic approach is used. This method allows for the interpretation and analysis of the data through their graphical representation [2,6], allowing these data to be processed, organized, and structured, gaining significance and purpose [7]. Currently, several tools may be used in the framework of this approach, among which are data visualization software and Internet of Things (IoT) platforms.…”
Section: Introductionmentioning
confidence: 99%