Optimised hybrid deep learning models for integrated energy modelling and anomaly detection under IPMVP compliance
Global decarbonisation efforts have intensified the demand for credible verification of energy performance in industrial facilities. Yet, conventional regression-based and other existing Measurement and Verification (M&V) methods under the International Performance Measurement and Verification P...
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| Format: | Thesis |
| Language: | English English |
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2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29435/ |
| Abstract | Abstract here |