RJMCMC point process sampler for single sensor source separation : an application to electric load monitoring
| Autor: | El Guedri, M., Julien Bect, Lajaunie, C., Fleury, G., Seraoui, R., Garcia, T., Girard, A. |
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| Přispěvatelé: | Supélec Sciences des Systèmes (E3S), Ecole Supérieure d'Electricité - SUPELEC (FRANCE), Centre de Géosciences (GEOSCIENCES), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), EDF (EDF) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | 17th European Signal Processing Conference (EUSIPCO'09) 17th European Signal Processing Conference (EUSIPCO'09), Aug 2009, Glasgow, United Kingdom. pp.CD-ROM Proceedings Scopus-Elsevier |
| Popis: | This paper presents an original method to separate the residential electric load into its major components. The method is explained in the particular case of space-heating, which is the most consuming electric end-use in France1. This is a source separation problem from a single mixture. The components to be retrieved are square signals characterized by a periodic regulation and a slowly timevarying duty cycles. A point process is used to model the electric load as a configuration of possibly overlapping square signals, given the priors on magnitude, duty cycle variations and the regulation periodicity. This stochastic process is simulated using a Reversible Jump Markov Chain Monte Carlo procedure. A simulated annealing scheme is used to achieve the posterior density maximization. First results on real data provided by Electricité de France are quite encouraging. |
| Databáze: | OpenAIRE |
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