Name
Abstract | ||
|---|---|---|
Smart meter data is usually accessed periodically with low time granularity, which creates limitations for near real-time information. This paper first introduces information quality metrics that can be used to optimize real-time data access to smart meter data. Then, a systematic parametric study assesses the impact of smart meter access scheduling on information quality. Finally, the paper evaluates a previously proposed heuristic optimization of scheduling of smart meter data access. The result shows that the heuristic optimization algorithm in all investigated scenarios shows less than 15% degradation as compared to the achievable best schedule. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SmartGridComm.2018.8587478 | 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) |
Keywords | Field | DocType |
Smart Grid,adaptive scheduling,AMI,QoS,information quality,voltage quality monitoring | Heuristic,Smart grid,Computer science,Scheduling (computing),Real-time computing,Schedule,Parametric statistics,Smart meter,Data access,Information quality | Conference |
ISBN | Citations | PageRank |
978-1-5386-7955-5 | 1 | 0.39 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed S. Kemal | 1 | 1 | 1.06 |
| Rasmus L. Olsen | 2 | 52 | 15.36 |
| Hans-Peter Schwefel | 3 | 210 | 42.31 |