Research Article
Efficiency Evaluation for Smart Grid Management Based on Stochastic Frontier Model and Data Envelope Analyses Model
Table 3
New variable data collection.
| Order | Power company | (6) Total installed capacity (104 Kw) | (7) Electricity (108 Kwh) | (8) Unit power distribution cost (yuan/103 Kwh) |
| 1 | Fujian | 3885.4 | 1579.5 | 128.59 | 2 | Tianjin | 1132.1 | 711.9 | 163.48 | 3 | Hebei | 2618.2 | 1621.0 | 160.13 | 4 | Jiangsu | 7531.9 | 4580.9 | 117.41 | 5 | Shandong | 7079.8 | 3794.7 | 131.40 | 6 | Shanghai | 2143.3 | 1353.5 | 180.34 | 7 | Shanxi | 5454.9 | 1765.8 | 98.18 | 8 | Zhejiang | 6170.3 | 3213.4 | 169.96 | 9 | Anhui | 3532.1 | 1361.1 | 161.35 | 10 | Beijing | 765.6 | 874.3 | 163.21 | 11 | Hubei | 5787.6 | 1507.8 | 204.64 | 12 | Hunan | 3311.6 | 1346.5 | 198.45 | 13 | Henan | 5764.7 | 2747.7 | 102.00 | 14 | Jiangxi | 1937.0 | 867.7 | 212.41 | 15 | Sichuan | 5427.0 | 1830.7 | 171.86 |
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Data source: Transportation Monitoring Center of State Grid Corporation of China.
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