Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China

Table 2

Wind power utilization efficiency of 30 provinces (2013–2019).

	2013	2014	2015	2016	2017	2018	2019	Means	Rank
Inner Mongolia	1.0628	1.2276	1.2068	1.1676	1.1657	1.1781	1.1495	1.1654	1
Shandong	1.2082	1.0733	1.1188	1.1410	1.1325	1.0299	1.0732	1.1110	2
Fujian	1.0884	1.0727	1.1190	1.0634	1.0841	0.5190	1.0278	0.9963	3
Yunnan	0.7269	1.0127	0.6789	1.0263	1.0574	1.0742	1.0832	0.9514	4
Jiangsu	0.6681	1.1232	1.1002	0.7318	1.0218	0.8032	1.1398	0.9412	5
Hebei	0.8524	0.6288	0.8145	1.0081	1.0134	0.9166	0.8716	0.8722	6
Ningxia	1.0054	0.8879	0.6067	0.6897	0.7854	0.7968	0.7006	0.7818	7
Shanxi	0.4841	1.0415	0.7174	0.7072	0.7667	0.9060	0.8377	0.7801	8
Liaoning	1.0061	0.7838	0.8231	0.7417	0.7113	0.6463	0.7461	0.7798	9
Guangdong	0.5420	0.6861	0.8391	0.6816	0.6892	0.4511	0.5724	0.6373	10
Xinjiang	0.5950	0.5409	0.4256	0.5693	0.6437	0.6182	0.6900	0.5833	11
Heilongjiang	0.6598	0.4868	0.4851	0.5698	0.5684	0.5691	0.5975	0.5624	12
Gansu	0.7467	0.5150	0.4642	0.4437	0.4894	0.5412	0.6040	0.5435	13
Anhui	0.3873	0.4490	0.5410	0.5884	0.5775	0.4263	0.5003	0.4957	14
Zhejiang	0.4844	0.4590	0.4594	0.5163	0.4911	0.3840	0.5502	0.4778	15
Hubei	0.2334	0.4467	0.4749	0.4823	0.6119	0.4492	0.6394	0.4768	16
Guizhou	0.3159	0.3473	0.6077	0.5189	0.6315	0.4263	0.4895	0.4767	17
Jilin	0.5189	0.4227	0.4033	0.4121	0.4604	0.5293	0.5141	0.4659	18
Hunan	0.2937	0.2988	0.5005	0.5304	0.6254	0.4121	0.4152	0.4395	19
Shanghai	0.4333	0.4224	0.3749	0.4670	0.4962	0.4115	0.4561	0.4373	20
Guangxi	0.2673	0.3377	0.2933	0.4434	0.4323	0.3967	0.7190	0.4128	21
Jiangxi	0.3308	0.3294	0.3877	0.4344	0.5058	0.3795	0.5206	0.4126	22
Sichuan	0.1527	0.2372	0.3147	0.4191	0.4682	0.4525	0.7987	0.4062	23
Shaanxi	0.3120	0.4150	0.4834	0.3091	0.4501	0.4260	0.4410	0.4052	24
Henan	0.3203	0.3499	0.3702	0.4287	0.3968	0.3482	0.5386	0.3932	25
Tianjin	0.3923	0.3778	0.3643	0.3983	0.3545	0.2468	0.3726	0.3581	26
Hainan	0.3994	0.3395	0.3673	0.3855	0.3409	0.2310	0.3186	0.3403	27
Beijing	0.3536	0.3410	0.3331	0.2900	0.2583	0.2387	0.2771	0.2988	28
Qinghai	0.1130	0.2805	0.3120	0.3437	0.3064	0.3207	0.3646	0.2916	29
Chongqing	0.1680	0.3103	0.2262	0.3541	0.3674	0.2544	0.3524	0.2904	30
China	0.5374	0.5748	0.5738	0.5954	0.6301	0.5461	0.6454	0.5861