Name
Abstract | ||
|---|---|---|
The recent increase in smart meters installations in households and small bussiness by electric companies has led to interest in monitoring load techniques in order to provide better quality service and get useful information about appliance usage and user consumption behavior. This works summarizes the current state of the art in Non Intrusive Load Monitoring from its beginning, describes the main process followed in the literature to perform this technique and shows current methods and techniques followed nowadays. The possible application of this techniques in the context of ambient intelligence, energy efficiency, occupancy detection are described. This work also points the current challenges in the field and the future lines of research in this broad topic. |
Year | Venue | Field |
|---|---|---|
2017 | PAAMS (Special Sessions) | Service quality,Metre,Efficient energy use,Ambient intelligence,Computer science,Real-time computing,Occupancy,Hidden Markov model |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
21 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorge Revuelta Herrero | 1 | 6 | 1.15 |
| Álvaro Lozano Murciego | 2 | 1 | 0.72 |
| A. L. Barriuso | 3 | 20 | 6.59 |
| Daniel Hernández de La Iglesia | 4 | 1 | 1.06 |
| Gabriel Villarrubia-González | 5 | 16 | 6.72 |
| Juan Manuel Corchado Rodriguez | 6 | 0 | 1.01 |
| Rita Carreira | 7 | 0 | 0.34 |