The Optimization of Chiller Loading by Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms

Table 2

Coefficients of the chiller power consumption models from quadratic regression analysis.

Chiller	1	2	3	4	5
	150.80	236.17	−108.65	386.31	222.16
	12.79	−2.08	16.21	−6.19	−0.80
	−0.51	−0.56	−0.56	0.18	−0.22
	−620.23	−235.58	35.14	−670.01	−349.20
	510.82	−369.19	−34.55	763.31	270.52
	49.92	81.75	44.82	28.37	47.76
	0.984181	0.983730	0.985550	0.985485	0.983580
Error (%)	1.420413	0.854415	0.849768	0.845402	0.89693