AI-coherent data-driven forecasting model for a combined cycle power plant
This study investigates the transformation of energy models to align with machine learning
requirements as a promising tool for optimizing the operation of combined cycle power …
requirements as a promising tool for optimizing the operation of combined cycle power …
Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
The gas turbine engine is a predominant prime mover in the transport and energy sectors,
and ensuring its reliable operation holds paramount significance. While intelligent fault …
and ensuring its reliable operation holds paramount significance. While intelligent fault …
[PDF][PDF] Prediction and Comparative Analysis of Emissions from Gas Turbines Using Random Search Optimization and Different MachineL earning Based Algorithms
E Aslan - Bulletin of the Polish Academy of Sciences Technical …, 2024 - journals.pan.pl
Gas turbines are widely used for power generation globally, and their greenhouse gas
emissions have increasingly drawn public attention. Compliance with environmental …
emissions have increasingly drawn public attention. Compliance with environmental …