Name
Abstract | ||
|---|---|---|
Adequate capacity planning of substations and feeders primarily depends on an accurate estimation of the future peak electricity demand. Traditional coincident peak demand estimation is carried out based on the empirical metric, after diversity maximum demand, indicating individual peak consumption levels and demand diversification across multiple residents. With the privilege of smart meters in s... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIE.2018.2803732 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Estimation,Probabilistic logic,Smart meters,Measurement,Smart cities,Substations,Load modeling | Mean absolute percentage error,Point estimation,Electricity,Control engineering,Capacity planning,Peak demand,Sampling (statistics),Smart meter,Probabilistic logic,Engineering,Statistics | Journal |
Volume | Issue | ISSN |
66 | 2 | 0278-0046 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingyang Sun | 1 | 14 | 8.36 |
| Yi Wang | 2 | 60 | 10.92 |
| Goran Strbac | 3 | 75 | 19.95 |
| Chongqing Kang | 4 | 92 | 19.22 |