Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method-Reference-Cited by-同舟云学术

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Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method

Published:2020-11 Issue: Volume:277 Page:115506
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wei Shuangyu,Tien Paige Wenbin,Calautit John Kaiser,Wu Yupeng,Boukhanouf Rabah

Funder

Faculty of Engineering, University of Nottingham

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference62 articles.

1. A simulation and optimisation methodology for choosing energy efficiency measures in non-residential buildings;Ceballos-Fuentealba;Appl Energy,2019

2. Human-in-the-loop HVAC operations: A quantitative review on occupancy, comfort, and energy-efficiency dimensions;Jung;Appl Energy,2019

3. IEA. The Future of Cooling - Opportunities for Energy-efficient air conditioning. International Energy Agency; 2018.

4. Future trends of residential building cooling energy and passive adaptation measures to counteract climate change: The case of Taiwan;Huang;Appl Energy,2016

5. A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings;Joe;Appl Energy,2019

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