Name
Abstract | ||
|---|---|---|
We present a novel analytics approach to infer the underlying interconnection between various metered entities in a radial distribution network. Our approach uses a time series of power measurements collected from different meters in the distribution grid and infers the underlying network between these meters. The collected measurements are used to set up a system of linear equations based upon the principle of conservation of energy. The equations are analyzed to estimate a tree network that optimally fits the time series of meter measurements. We study experimentally the number of measurements needed to infer the true underlying connectivity with the help of both synthetic and real smart meter measurements in the noiseless setting. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2487166.2487186 | e-Energy |
Keywords | Field | DocType |
meter measurement,tree network,radial distribution network,time series,underlying network,connectivity model,different meter,true underlying connectivity,real smart meter measurement,distribution grid,underlying interconnection,sparsity,compressed sensing | Mathematical optimization,Conservation of energy,System of linear equations,Metre,Computer science,Real-time computing,Smart meter,Analytics,Interconnection,Compressed sensing,Tree network | Conference |
Citations | PageRank | References |
9 | 1.47 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vijay Arya | 1 | 541 | 41.32 |
| T. S. Jayram | 2 | 1373 | 75.87 |
| Soumitra Pal | 3 | 16 | 3.84 |
| Shivkumar Kalyanaraman | 4 | 1577 | 125.66 |