A novel multi-objective generative design approach for sustainable building using multi-task learning (ANN) integration-Reference-Cited by-同舟云学术

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A novel multi-objective generative design approach for sustainable building using multi-task learning (ANN) integration

Published:2024-12 Issue: Volume:376 Page:124220
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Li Mingchen,Wang Zhe,Chang Hao,Wang Zhoupeng,Guo Juanli

Funder

Innovation and Technology Commission - Hong Kong

Science Foundation for Excellent Youth Scholars of Sichuan University

National Science Fund for Distinguished Young Scholars

Publisher

Elsevier BV

Reference73 articles.

1. Effect of control strategy on performance and emissions of natural gas engine for cogeneration system;Park;Energy,2015

2. Building energy conservation research Centre, annual report on China building energy efficiency,2020

3. Challenges and opportunities for carbon neutrality in China's building sector—Modelling and data;Hu;Build Simul, Springer,2022

4. Building information modelling based building energy modelling: a review;Gao;Appl Energy,2019

5. Multi-objective optimization of the building energy performance: a simulation-based approach by means of particle swarm optimization (PSO);Delgarm;Appl Energy,2016

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