MoinDalvs / Neural_Network_Regression_Gas_Turbines

Predicting Turbine Energy Yield (TEY) using ambient variables as features.

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Problem Statement

Predicting Turbine Energy Yield (TEY) using ambient variables as features.

About Dataset

The dataset contains 36733 instances of 11 sensor measures aggregated over one hour (by means of average or sum) from a gas turbine. The Dataset includes gas turbine parameters (such as Turbine Inlet Temperature and Compressor Discharge pressure) in addition to the ambient variables.

Attribute Information:

The explanations of sensor measurements and their brief statistics are given below.

Variable (Abbrivation) Unit Min Max Mean
Ambient temperature (AT) C 6.23 37.10 17.71
Ambient pressure (AP) mbar 985.85 1036.56 1013.07
Ambient humidity (AH) (%) 24.08 100.20 77.87
Air filter difference pressure (AFDP) mbar 2.09 7.61 3.93
Gas turbine exhaust pressure (GTEP) mbar 17.70 40.72 25.56
Turbine inlet temperature (TIT) C 1000.85 1100.89 1081.43
Turbine after temperature (TAT) C 511.04 550.61 546.16
Compressor discharge pressure (CDP) mbar 9.85 15.16 12.06
Turbine energy yield (TEY) MWH 100.02 179.50 133.51
Carbon monoxide (CO) mg/m3 0.00 44.10 2.37
Nitrogen oxides (NOx) mg/m3 25.90 119.91 65.29

About

Predicting Turbine Energy Yield (TEY) using ambient variables as features.


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