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• W2512799571 abstract "AbstractDuring the last decade, the Leadership in Energy and Environmental Design (LEED) rating system has embodied the efforts of the U.S. Green Building Council (USGBC) to recognize buildings designed to achieve superior performance in several areas including energy consumption. Given the emergent interest in improving buildings’ energy efficiency, researchers have generated predictive physical and data-driven models for energy consumption. Although the physical approaches aiming to calculate the energy consumption behavior at the building level are accurate, the necessity of continuously inspecting and gathering data for all the input parameters often makes these approaches impractical in some applications. The objective of this study is to introduce a novel assessment method that investigates the correlation between LEED certification and the actual energy consumption by investigating a case study of LEED-certified research buildings in climate zone 2B. The research approach first consists of developi..." @default.
• W2512799571 created "2016-09-16" @default.
• W2512799571 creator A5017536941 @default.
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• W2512799571 date "2017-04-01" @default.
• W2512799571 modified "2023-09-23" @default.
• W2512799571 title "Data-Driven Approach to Investigate the Energy Consumption of LEED-Certified Research Buildings in Climate Zone 2B" @default.
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• W2512799571 doi "https://doi.org/10.1061/(asce)ey.1943-7897.0000405" @default.
• W2512799571 hasPublicationYear "2017" @default.
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