XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine
This work extensively develops and evaluates an XGBoost model for predictive analysis of gas turbine performance. The goal is to construct a robust prediction model by utilizing previous operational data, such as environmental variables and operational parameters. This study examines building a pred...
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| Main Authors: | Nagoor Basha Shaik, Kittiphong Jongkittinarukorn, Kishore Bingi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Case Studies in Chemical and Environmental Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016424001695 |
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