Name
Abstract | ||
|---|---|---|
Real-time energy consumption monitoring is becoming increasingly important in smart energy management as it provides the opportunity for novel applications through data analytics, including anomaly detection, energy leakage, and theft. This paper presents a smart non-intrusive load monitoring approach for residential households, collecting fine-grained energy consumption data and disaggregating the data of appliances. The paper describes the implementation of the monitoring system, the data set, load disaggregation, and the challenges for future work. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-36691-9_36 | BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2019 |
Keywords | Field | DocType |
Non-intrusive load monitoring, Disaggregation, Platform, Data set | Anomaly detection,Energy management,Data analysis,Monitoring system,Computer science,Knowledge management,Risk analysis (engineering),Energy consumption,Energy leakage | Conference |
Volume | ISSN | Citations |
373 | 1865-1348 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiufeng Liu | 1 | 108 | 14.69 |
| Simon Bolwig | 2 | 0 | 0.34 |
| Per Sieverts Nielsen | 3 | 0 | 0.34 |