Power Prediction of Combined Cycle Power Plant (CCPP) Using Machine Learning Algorithm-Based Paradigm

Table 2

Input and output attributes of CCPP, where the temperature is measured in celcius, vaccum is measure in cm-Hg, pressure is measured in millibars, humidity is in percentage, and the unit of predicted power is megawatts.

Temperature	Vacuum	Pressure	Humidity	Predicted power
14.96	41.76	1024.07	73.17	463.26
25.18	62.96	1020.04	59.08	444.37
5.11	39.4	1012.16	92.14	488.56
20.86	57.32	1010.24	76.64	446.48
10.82	37.5	1009.23	96.62	473.9
26.27	59.44	1012.23	58.77	443.67
15.89	43.96	1014.02	75.24	467.35
9.48	44.71	1019.12	66.43	478.42
14.64	45	1021.78	41.25	475.98
11.74	43.56	1015.14	70.72	477.5