Research Article
Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China
Table 3
Wind power utilization efficiency of six regions (2013–2019).
| | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | Means | Rank |
| Northeast China | 0.8119 | 0.7302 | 0.7296 | 0.7228 | 0.7265 | 0.7307 | 0.7518 | 0.7434 | 1 | North China | 0.6581 | 0.6925 | 0.6696 | 0.7089 | 0.7051 | 0.6676 | 0.6864 | 0.6840 | 2 | East China | 0.6123 | 0.7053 | 0.7189 | 0.6734 | 0.7341 | 0.5088 | 0.7348 | 0.6697 | 3 | Southern China | 0.4503 | 0.5446 | 0.5572 | 0.6111 | 0.6302 | 0.5159 | 0.6365 | 0.5637 | 4 | Northwestern China | 0.5544 | 0.5279 | 0.4584 | 0.4711 | 0.5350 | 0.5406 | 0.5600 | 0.5211 | 5 | Central China | 0.2498 | 0.3287 | 0.3790 | 0.4415 | 0.4959 | 0.3826 | 0.5441 | 0.4031 | 6 | China | 0.5374 | 0.5748 | 0.5738 | 0.5954 | 0.6301 | 0.5461 | 0.6454 | 0.5861 | |
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