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A Hybrid Artificial Intelligence Model for Accurate Prediction of Gas Emissions in Power Plant Turbines

Year: 2025

Type: article

Abstract: Thermal power plants are the main contributors to greenhouse gas emissions. The prediction of the emission supports the decision makers and environmental sustainability. The objective of this study is to enhance the accuracy ... | Find, read and cite all the research you need on Tech Science Press

Source: Energy Engineering

DOI: 10.32604/ee.2025.073955

Authors: Samar Taha Yousif, Firas Basim Ismail, Ammar Al-Bazi, Alaa Abdulhady Jaber, Sivadass Thiruchelvam

Institutions: University of Technology - Iraq, University of Information Technology and Communications, Sohar University, Universiti Tenaga Nasional

Language: English

Topic: Advanced Power Generation Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: diamond

OpenAlex ID: W7116738215