Machine learning-based energy consumption models for rural housing envelope retrofits incorporating uncertainty: A case study in Jiaxian, China
Rural housing envelope retrofits significantly affect energy consumption, yet traditional simulation-based assessments are often time intensive and repetitive. This study presents a novel framework that integrates uncertainty analysis (UA) and machine learning (ML) to increase the accuracy and effic...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25005131 |
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