Abstract | ||
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Nowadays, smart meters are deployed in millions of residential households to gain significant insights from fine-grained electricity consumption data. The information extracted from smart meter data enables utilities to identify the socio-demographic characteristics of electricity consumers and then offer them diversified services. Traditionally, this task is implemented in a centralized manner wi... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TSG.2021.3066577 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Smart meters,Feature extraction,Collaborative work,Data models,Principal component analysis,Meters,Data privacy | Journal | 12 |
Issue | ISSN | Citations |
4 | 1949-3053 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yi Wang | 1 | 60 | 10.92 |
Imane Lahmam Bennani | 2 | 1 | 0.36 |
Xiufeng Liu | 3 | 108 | 14.69 |
Mingyang Sun | 4 | 14 | 8.36 |
Yao Zhou | 5 | 1 | 0.36 |