Corrigendum to “Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment”

Muhammad Sumair, Tauseef Aized, Syed Asad Raza Gardezi, Muhammad Mahmood Aslam Bhutta, Syed Ubaid ur Rehman, Syed Muhammad Sohail Rehman. Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment. Energy Exploration & Exploitation 2020; 1–18. Epub ahead of print publication, August 3, 2020. doi:10.1177/0144598720947483.

Figure 3 and Tables 1 and 2 have been corrected with the approval of the Journal Editor. All subsequent versions of this article have been updated. For full transparency, a watermarked PDF of the originally published version of the article has been attached to the PDF of this corrigendum notice.

Figure 3.

Wind speeds (ms⁻¹) at eleven investigated location.

Please note, these corrections do not impact on the conclusion of the article.

Figure 3, and Tables 1 and 2 have been updated to appear as follows:

Table 1.

Comparison of EPFM, PDM and CEPPDM.

Location	EPFM					PDM					CEPPDM
	K	C	R2	MSE	MAPE	K	C	R2	MSE	MAPE	K	C	R2	MSE	MAPE
		(ms−1)					(ms−1)					(ms−1)
Bahawalnagar	3.07114	3.95659	0.96497	0.00784	0.02167	3.05308	3.98899	0.97435	0.01212	0.00619	2.60052	4.20712	0.980036	0.01244	0.00473
Bahawalpur	2.99097	4.52756	0.94346	0.00280	0.06209	2.90620	4.59720	0.96648	0.00025	0.04661	2.42378	4.82762	0.97217	0.00026	0.04515
D.G. Khan	3.49315	4.28751	0.93006	0.00656	0.02091	3.74931	4.25287	0.93120	0.00013	0.00543	3.40784	4.53678	0.93689	0.00001	0.00397
Multan	2.99987	4.08072	0.93831	0.01325	0.03486	2.96387	3.98900	0.95916	0.00019	0.01938	2.44562	4.32329	0.96485	0.00014	0.01792
Muzaffargarh	3.00622	4.22634	0.93853	0.00778	0.03259	2.95900	4.27398	0.95391	0.00018	0.01711	2.54457	4.48018	0.95960	0.00009	0.01565
Rahim Yar Khan	3.11933	4.79128	0.94522	0.00081	0.01389	2.86104	4.95242	0.97106	0.00019	0.00159	2.58868	5.07453	0.97675	0.00051	0.00305
Khanewal	3.01569	4.09135	0.95182	0.00310	0.04795	2.97345	4.09653	0.97141	0.00045	0.03247	2.46183	4.33690	0.97710	0.00046	0.03101
Layyah	3.70143	4.07009	0.95910	0.00676	0.02976	3.39998	3.99902	0.95470	0.00007	0.01428	3.82900	4.32813	0.96039	0.00021	0.01282
Lodhran	3.01265	4.36669	0.96510	0.01345	0.06262	3.04005	4.50689	0.98465	0.00001	0.04714	2.51310	4.59825	0.99034	0.00034	0.04568
Rajanpur	3.40453	4.73006	0.95018	0.00798	0.02621	3.14567	4.15789	0.95695	0.00002	0.01073	3.31277	5.00276	0.96264	0.00011	0.00927
Vehari	3.06598	4.06645	0.95804	0.00101	0.04524	2.98561	4.10987	0.97569	0.00001	0.02976	2.52830	4.31976	0.98138	0.00071	0.02830

Table 2.

Annual mean wind speeds, Weibull parameters and wind power densities (WPD) at eleven investigated locations in south Punjab.

Location	2015				2016				2017				2018				2019
	Vavg	K	C	WPD	Vavg	K	C	WPD	Vavg	K	C	WPD	Vavg	K	C	WPD	Vavg	K	C	WPD
Bahwalnagr	3.75	2.80	4.21	47.90	3.75	3.05	3.99	45.34	3.64	3.01	3.91	43.21	3.55	2.81	4.18	43.98	3.92	3.00	4.00	45.23
Bahawalpur	4.05	2.42	4.83	67.55	4.11	2.91	4.60	65.01	3.94	2.86	4.52	62.89	4.04	2.43	4.80	61.33	4.19	2.85	4.61	64.88
D.G Khan	3.96	3.61	4.54	43.38	4.08	3.75	4.25	40.82	3.84	3.71	4.17	38.72	3.83	3.62	4.51	37.16	4.01	3.69	4.27	40.71
Multan	3.60	2.45	4.32	53.00	3.72	2.96	3.99	50.44	3.48	2.92	3.91	48.34	3.48	2.86	4.29	46.78	3.79	2.91	4.00	50.33
Muzaffargarh	3.78	2.54	4.48	55.15	3.94	2.96	4.27	52.59	3.63	2.93	4.19	50.49	3.62	2.82	4.45	48.93	3.90	2.92	4.29	52.48
Rahim Yar Khan	4.21	2.59	5.07	88.75	4.28	2.86	4.95	74.34	4.09	2.82	4.87	67.24	4.32	2.72	5.04	65.68	4.27	2.80	4.96	91.98
Khanewal	3.78	2.46	4.34	44.56	3.93	2.97	4.10	42.00	3.73	2.93	4.02	39.90	3.70	2.47	4.31	38.34	3.85	2.92	4.11	41.89
Layyah	3.60	3.83	4.33	37.92	3.72	3.40	4.00	36.16	3.48	3.36	3.92	34.26	3.48	3.86	4.30	37.90	3.89	3.34	4.01	50.25
Lodhran	3.87	2.51	4.60	69.51	3.94	3.04	4.51	66.95	3.72	3.00	4.43	64.85	3.80	2.52	4.57	63.29	4.04	2.98	4.52	66.84
Rajanpur	4.15	3.31	5.00	72.64	4.14	3.15	4.16	70.08	4.08	3.10	4.08	67.98	4.18	3.30	4.97	66.42	4.17	3.09	4.17	69.97
Vehari	3.67	2.53	4.32	53.29	3.75	2.99	4.11	50.73	3.57	2.94	4.03	48.63	3.52	2.54	4.29	47.07	3.85	2.93	4.12	50.62