Unveiling land use-carbon Nexus: Spatial matrix-enhanced neural network for predicting commercial and residential carbon emissions-Reference-Cited by-同舟云学术

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Unveiling land use-carbon Nexus: Spatial matrix-enhanced neural network for predicting commercial and residential carbon emissions

Published:2024-10 Issue: Volume:305 Page:131722
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Luo Haizhi,Zhang Yiwen,Gao Xinyu,Liu Zhengguang^ORCID,Song Xia,Meng Xiangzhao^ORCID,Yang Xiaohu^ORCID

Publisher

Elsevier BV

Reference84 articles.

1. Evaluating carbon emissions of construction and demolition waste in building energy retrofit projects;Hao;Energy,2023

2. IPCC 2006 guidelines for national Greenhouse Gas inventories;Amstel,2006

3. Data-driven approach to prediction of residential energy consumption at urban scales in London;Gassar;Energy,2019

4. Carbon Kuznets curve in China’s building operations: retrospective and prospective trajectories;Chen;Sci Total Environ,2022

5. Causal relationships of energy consumption, price, and CO2 emissions in the US building sector;Lee;Resour Conserv Recycl,2016

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1. A review of simulation software for energy systems: Design, functionality, and applications;Thermal Science and Engineering Progress;2024-08

2. Rational Exergy Management Model based metrics for minimum carbon dioxide emissions and decarbonisation in Glasgow;Energy;2024-08

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