Multi-criteria optimization of nanofluid-based solar collector for enhanced performance: An explainable machine learning-driven approach

Sankar, A., Gupta, K.K., Bhalla, V. et al. (1 more author) (2025) Multi-criteria optimization of nanofluid-based solar collector for enhanced performance: An explainable machine learning-driven approach. Energy, 320. 135212. ISSN: 0360-5442

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Item Type: Article
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© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Nanofluid-based solar collectors, Monte Carlo simulation, Gaussian process regression, Design optimization, Multi-criteria attainment, Explainable machine learning
Dates:
  • Accepted: 21 February 2025
  • Published (online): 23 February 2025
  • Published: 1 April 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds)
Date Deposited: 30 Sep 2025 10:26
Last Modified: 30 Sep 2025 10:26
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.energy.2025.135212
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Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
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