Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
This study explores the prediction of Carbon Monoxide (CO) emissions from Dry Low Emission (DLE) gas turbines through the application of artificial intelligence (AI) methodologies. Accurate CO emission prediction is essential for reducing environmental impact and ensuring compliance with increasingl...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2024
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/30512/1/Final%20year%20Project%20II%20%28FYP%20II%29-Dissertation%20Report-Jeevanesan%20S%20Jayaraja-20000558%20master%20copy%20-%20JJGypsy.pdf http://utpedia.utp.edu.my/id/eprint/30512/ |
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| Summary: | This study explores the prediction of Carbon Monoxide (CO) emissions from Dry Low Emission (DLE) gas turbines through the application of artificial intelligence (AI) methodologies. Accurate CO emission prediction is essential for reducing environmental impact and ensuring compliance with increasingly stringent regulations. |
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