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CORRECTION article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1477060
This article is part of the Research Topic Low to medium-grade thermal energy utilization in renewable energies and industries View all articles

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

Provisionally accepted
Abdollah Baghaei Daemei Abdollah Baghaei Daemei 1*Tomasz Bradecki Tomasz Bradecki 2Alina Pancewicz Alina Pancewicz 2Amirali Razzaghipour Amirali Razzaghipour 3Amiraslan Darvish Amiraslan Darvish 4Asma Jamali Asma Jamali 5Seyedeh Maryam Abbaszadegan Seyedeh Maryam Abbaszadegan 6Reza Askarizad Reza Askarizad 7,8Mostafa Kazemi Mostafa Kazemi 9Ayyoob Sharifi Ayyoob Sharifi 10,11
  • 1 School of Built Environment, Massey University, Auckland, New Zealand
  • 2 Silesian University of Technology, Gliwice, Silesian, Poland
  • 3 Curtin University, Perth, Western Australia, Australia
  • 4 University of Massachusetts Amherst, Amherst, Massachusetts, United States
  • 5 Rahbord Shomal University, Rasht, Gilan, Iran
  • 6 La Trobe University, Melbourne, Victoria, Australia
  • 7 Polytechnic University of Madrid, Madrid, Madrid, Spain
  • 8 University of Cagliari, Cagliari, Sardinia, Italy
  • 9 School of Environment and Sustainability, Royal Roads University, Victoria, Canada
  • 10 Hiroshima University, Hiroshima, Hiroshima, Japan
  • 11 Lebanese American University, Beirut, Beirut, Lebanon

This article is a correction to:

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

    1. Read original article

The final, formatted version of the article will be published soon.

    Keywords: Green walls, experimental measurement, Humid climate, Cooling performance, Ambient air temperature, Urban Heat Island, Deep learning model, artificial neural network

    Received: 07 Aug 2024; Accepted: 09 Aug 2024.

    Copyright: © 2024 Baghaei Daemei, Bradecki, Pancewicz, Razzaghipour, Darvish, Jamali, Abbaszadegan, Askarizad, Kazemi and Sharifi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Abdollah Baghaei Daemei, School of Built Environment, Massey University, Auckland, New Zealand

    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.