Generalized building energy and carbon emissions benchmarking with post-prediction analysis

Generalized building energy and carbon emissions benchmarking with post-prediction analysis

This study proposes a generalized building energy and carbon emissions benchmarking approach. Leveraging eleven years of real-world data from twelve U.S. cities, an advanced ensemble learning model is employed to predict building site, source energy, and carbon emissions. The generalizability is val...

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Bibliographic Details
Main Authors: Tian Li, Tianqi Liu, Azadeh Omidfar Sawyer, Pingbo Tang, Vivian Loftness, Yi Lu, Jiarong Xie
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Developments in the Built Environment
Subjects:
Generalized energy benchmarking
Carbon emissions
Data-driven
Machine learning
Big data
Post-prediction analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2666165924000012

Internet

http://www.sciencedirect.com/science/article/pii/S2666165924000012

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