Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis
This study aims to investigate and predict the performance of a 400 MW steam power plant operating on the Rankine cycle through a combined exergy-energy analysis and an artificial intelligence-based random forest regression model. The primary objective is to assess component-wise inefficiencies, ide...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier Ltd
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121252/1/121252.pdf http://psasir.upm.edu.my/id/eprint/121252/ https://linkinghub.elsevier.com/retrieve/pii/S2590174525001576 |
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