Urban micro-climate prediction through long short-term memory network with long-term monitoring for on-site building energy estimation-Reference-Cited by-同舟云学术

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Urban micro-climate prediction through long short-term memory network with long-term monitoring for on-site building energy estimation

Published:2021-11 Issue: Volume:74 Page:103227
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Zhang Muxing,Zhang Xiaosong,Guo Siyi,Xu Xiaodong,Chen Jiayu,Wang Wei

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Reference45 articles.

1. “2018 China building energy consumption research report,” 2019.

2. Optimal energy retrofit plan for conservation and sustainable use of historic campus building: Case of cultural property building;Cho;Applied Energy,2020

3. Impacts of urbanization on urban structures and energy demand: What can we learn for urban energy planning and urbanization management?;Madlener;Sustainable Cities and Society,2011

4. Prediction of building energy consumption: A comparative study;Li,2017

5. Modeling and forecasting building energy consumption: A review of data-driven techniques;Bourdeau;Sustainable Cities and Society,2019

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