Evaluation of the Technical Wind Energy Potential of Kisii Region Based on the Weibull and Rayleigh Distribution Models

Table 6

Wind power as predicted by the models and their errors in prediction.

Month	Wind speed (m/s)		Wind power (W/m^2)				Error (%)
	January	2.23	2.83	6.79	13.82	12.70	12.72	-8.13	86.97	-7.96	87.31
February	2.56	3.16	10.27	19.34	18.70	17.87	-3.32	81.97	-7.59	73.95
March	2.35	2.91	7.95	15.10	14.50	14.31	-4.00	82.42	-5.25	80.05
April	2.89	3.54	14.78	27.19	29.13	29.26	7.14	97.03	7.63	97.93
May	3.21	3.84	20.26	34.74	39.14	37.99	12.68	93.20	9.37	87.52
June	3.35	4.15	23.03	43.68	45.30	44.68	3.71	96.72	2.30	94.03
July	3.37	4.01	23.44	39.46	42.93	41.25	8.79	83.132	4.52	75.95
August	3.43	4.02	24.72	39.71	47.00	44.68	18.36	90.16	12.52	80.77
September	3.25	4.00	21.03	39.33	42.93	41.25	9.16	104.18	4.87	96.16
October	2.83	3.55	13.88	27.36	29.13	29.26	6.47	109.83	6.95	110.79
November	2.01	2.67	4.97	11.62	9.56	9.91	-17.70	92.20	-14.73	99.19
December	1.83	2.42	3.75	8.72	9.48	6.51	8.69	152.55	-24.95	73.54
Averages	2.78	3.42	14.57	26.67	28.38	27.47	3.49	97.53	-1.06	88.10