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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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Bibliographic Details
Main Author: S Jayaraja, Jeevanesan
Format: Final Year Project
Language:English
Published: 2024
Subjects:
TP Chemical technology
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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record_format eprints
spelling oai:utpedia.utp.edu.my:305122025-02-19T04:12:18Z http://utpedia.utp.edu.my/id/eprint/30512/ Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine S Jayaraja, Jeevanesan TP Chemical technology 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. 2024-09 Final Year Project NonPeerReviewed text en 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 S Jayaraja, Jeevanesan (2024) Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
S Jayaraja, Jeevanesan
Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
description 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.
format Final Year Project
author S Jayaraja, Jeevanesan
author_facet S Jayaraja, Jeevanesan
author_sort S Jayaraja, Jeevanesan
title Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
title_short Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
title_full Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
title_fullStr Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
title_full_unstemmed Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine
title_sort carbon monoxide prediction using artificial intelligence for dry low emission gas turbine
publishDate 2024
url 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/
_version_ 1825163543815651328
score 13.239859

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