Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation-Reference-Cited by-同舟云学术

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Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation

Published:2022-03 Issue: Volume:78 Page:103619
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Gu Xianliang,Xie Jingchao,Huang Chengyang,Ma Kai,Liu Jiaping

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. A model to optimize the airport terminal departure operations;Adacher;Transportation Research Procedia,2017

2. An overview of machine learning applications for smart buildings;Alanne;Sustainable Cities and Society,2021

3. Framework for airport outbound passenger flow modelling;Alodhaibi;Procedia Engineering,2017

4. Real data-driven occupant-behavior optimization for reduced energy consumption and improved comfort;Amasyali;Applied Energy,2021

5. Greenhouse gas emissions mitigation strategies within the airport sustainability evaluation process;Andrew;Sustainable Cities and Society,2015

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4. Passenger spatiotemporal distribution prediction in airport terminals based on physics-guided spatio-temporal graph convolutional network and its effect on indoor environment prediction;Sustainable Cities and Society;2024-07

5. Model predictive control for thermal comfort and energy optimization of an air handling unit system in airport terminals using occupant feedback;Sustainable Energy Technologies and Assessments;2024-05

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