Name
Abstract | ||
|---|---|---|
We study the meter data management systems (MDMS) with a focus on missing data handling, and propose two approaches, called Lookback-N and Sandwich-N, based on the historical data. Using a realistic dataset, we demonstrate that Lookback-N is effective for online processing, and Sandwich-N outperforms the conventional offline approach, in terms of estimation accuracy, in all test cases. The proposed approaches are simple, effective, and show promise in handling missing data for emerging smart meter data management systems. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2487166.2487204 | e-Energy |
Keywords | Field | DocType |
estimation accuracy,historical data,smart meter data management,meter data management system,conventional offline approach,realistic dataset,missing data,show promise,online processing | Data mining,Test case,Metre (music),Engineering,Smart meter,Missing data,Data management,Database,Meter data management system,Online processing | Conference |
Citations | PageRank | References |
3 | 0.69 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ru-Sen Jeng | 1 | 3 | 0.69 |
| Chien-Yu Kuo | 2 | 5 | 1.34 |
| Yao Hua Ho | 3 | 84 | 13.79 |
| Ming-Feng Lee | 4 | 57 | 6.69 |
| Lin-Wen Tseng | 5 | 3 | 0.69 |
| Chia-Lin Fu | 6 | 5 | 1.34 |
| Pei-Fang Liang | 7 | 3 | 0.69 |
| Ling-Jyh Chen | 8 | 759 | 78.81 |