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Gas Turbine Cost Estimation Model by Isaac Rodriguez is a document available to read on EtoBox.
This study develops a regression analysis model to estimate the acquisition cost of gas turbine engines based on historical performance data. The model demonstrates an accuracy of 72% to 98% with a coefficient of determination (R2) of 94% and a strong correlation of 0.97 between the variables. The findings highlight the importance of accurate cost estimation for informed decision-making in capital-intensive projects like power plants.
- Author
- Isaac Rodriguez
- Language
- EN