Graph convolutional networks-based method for estimating design loads of complex buildings in the preliminary design stage-Reference-Cited by-同舟云学术

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Graph convolutional networks-based method for estimating design loads of complex buildings in the preliminary design stage

Published:2022-09 Issue: Volume:322 Page:119478
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Lu Jie,Zhang Chaobo,Li Junyang,Zhao Yang,Qiu Weikang,Li Tingting,Zhou Kai,He Jianing

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. A review on optimized control systems for building energy and comfort management of smart sustainable buildings;Shaikh;Renew Sustain Energy Rev,2014

2. Simplified model of cooling/heating load prediction for various air-conditioned room types;Khammayom;Energy Rep,2020

3. A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis;Zhao;Energy Built Environ,2020

4. Analysis of HVAC system oversizing in commercial buildings through field measurements;Woradechjumroen;Energy Build,2014

5. Oversizing of HVAC system: Signatures and penalties;Djunaedy;Energy Build,2011

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