Using intelligent multi-objective optimization and artificial neural networking to achieve maximum solar radiation with minimum volume in the archetype urban block-Reference-Cited by-同舟云学术

Using intelligent multi-objective optimization and artificial neural networking to achieve maximum solar radiation with minimum volume in the archetype urban block

Published:2022-11 Issue: Volume:86 Page:104101
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Veisi Omid^ORCID,Shakibamanesh Amir,Rahbar Morteza^ORCID

Publisher

Elsevier BV

Subject

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

Reference104 articles.

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3. Predicting solar radiation in the urban area: A data-driven analysis for sustainable city planning using artificial neural networking;Sustainable Cities and Society;2024-01

4. Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review;Journal of Cleaner Production;2023-11

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