1)PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
2)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.
Problem statement: predicting turbine energy yield (TEY) using ambient variables as features.
Attribute Information:
The explanations of sensor measurements and their brief statistics are given below.
Variable (Abbr.) 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