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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Bibliographic Details
Main Authors: Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, Muhammad Naqvi, Syed Qasim Raza Zahidi, Fayaz Hussain, Hayati Yassin, Atika Qazi
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Energy Conversion and Management: X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174525001576
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