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
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 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: |
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| 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 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:232192 |


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