Data-driven performance analysis of a residential building applying artificial neural network (ANN) and multi-objective genetic algorithm (GA)-Reference-Cited by-同舟云学术

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Data-driven performance analysis of a residential building applying artificial neural network (ANN) and multi-objective genetic algorithm (GA)

Published:2022-11 Issue: Volume:225 Page:109633
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Saryazdi Seyed mohammad Ebrahimi,Etemad Alireza^ORCID,Shafaat Ali^ORCID,Bahman Ammar M.^ORCID

Funder

Kuwait University

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference69 articles.

1. Transition to Sustainable Buildings: Strategies and Opportunities to 2050;Staff,2013

2. Kuwait Energy Outlook: Sustaining prosperity through strategic energy management, Technical report;UNDP,2019

3. Optimum thermal design of air-conditioned residential buildings;Al-Homoud;Build. Environ.,1997

4. A method for assessing buildings' energy efficiency by dynamic simulation and experimental activity;Pisello;Appl. Energy,2012

5. Life-cycle analysis of building retrofits at the urban scale—a case study in United Arab Emirates;Afshari;Sustainability,2014

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