Use of publicly available data to create a dataset for data-driven urban commercial building energy intensity classification: Model accuracy, interpretation, and implications of an open data framework in Hong Kong-Reference-Cited by-同舟云学术

Use of publicly available data to create a dataset for data-driven urban commercial building energy intensity classification: Model accuracy, interpretation, and implications of an open data framework in Hong Kong

Published:2024-01 Issue: Volume:100 Page:105063
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Tang Justin Hayse Chiwing G.,Lu Zhongming^ORCID

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Research Grants Council, University Grants Committee

Hong Kong University of Science and Technology

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference48 articles.

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4. From concept to application: A review of use cases in urban building energy modeling;Ang;Applied Energy,2020

5. BEEM: Data-driven building energy benchmarking for Singapore;Arjunan;Energy and Buildings,2022

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