CORRECTION article

Front. Energy Res., 22 August 2024

Sec. Sustainable Energy Systems

Volume 12 - 2024 | https://doi.org/10.3389/fenrg.2024.1477060

Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates

  • 1. School of Built Environment, Massey University, Auckland, New Zealand

  • 2. Faculty of Architecture, Silesian University of Technology, Gliwice, Poland

  • 3. School of Design and the Built Environment, Curtin University, Perth, WA, Australia

  • 4. Department of Environmental Conservation, Sustainable Building Systems Engineering, University of Massachusetts Amherst, Amherst, MA, United States

  • 5. Department of Architectural Engineering, Rahbord Shomal University, Rasht, Iran

  • 6. Department of Engineering, La Trobe University, Melbourne, VIC, Australia

  • 7. Department of Urban and Regional Planning, Universidad Politécnica de Madrid, Madrid, Spain

  • 8. Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, Cagliari, Italy

  • 9. School of Environment and Sustainability, Royal Roads University, Victoria, BC, Canada

  • 10. Center for Peaceful and Sustainable Futures (CEPEAS), The IDEC Institute, Hiroshima University, Hiroshima, Hiroshima, Japan

  • 11. School of Architecture and Design, Lebanese American University, Beirut, Beirut, Lebanon

Error in Author List

In the published article, there was an error in the Author list, and author Amiraslan Darvish was erroneously excluded. The corrected Author list appears below.

“Abdollah Baghaei Daemei1*, Tomasz Bradecki2, Alina Pancewicz2, Amirali Razzaghipour3, Amiraslan Darvish4, Asma Jamali5, Seyedeh Maryam Abbaszadegan6, Reza Askarizad7,8, Mostafa Kazemi9, Ayyoob Sharifi10,11”

Error in Affiliation

In the published article, there was an error in Affiliation 9. Instead of “Department of Architecture, Tabriz Branch, Islamic Azad University, Tabriz, Iran,” it should be “School of Environment and Sustainability, Royal Roads University, Victoria, Canada.”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Statements

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

green walls, experimental measurement, humid climate, cooling performance, ambient air temperature, urban heat island, deep learning model, artificial neural network

Citation

Baghaei Daemei A, Bradecki T, Pancewicz A, Razzaghipour A, Darvish A, Jamali A, Abbaszadegan SM, Askarizad R, Kazemi M and Sharifi A (2024) Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates. Front. Energy Res. 12:1477060. doi: 10.3389/fenrg.2024.1477060

Received

07 August 2024

Accepted

09 August 2024

Published

22 August 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

12 - 2024

Updates

Copyright

*Correspondence: Abdollah Baghaei Daemei,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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