A comprehensive study to predict steam turbine power of a CCPP using data-driven models based on a holistic approach with a novel set of practical descriptive features

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2026.140838
Affiliations:
1
Authors:
2
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Institutions Authors Share
University of Tehran (UT), Iran
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