Poster abstract: Appliance state estimation based on particle filtering

BuildSys 2013 - Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings

Volumn , Issue , 2013, Pages

  Egarter, Dominik ^a   Bhuvana, Venkata Pathuri ^a   Elmenreich, Wilfried ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

Load Disaggregation; NILM; Non Intrusive Load Monitoring; Particle Filter

Indexed keywords

DOMESTIC APPLIANCES; ELECTRIC LOAD MANAGEMENT; EMBEDDED SYSTEMS; HIDDEN MARKOV MODELS; INTELLIGENT BUILDINGS; MATLAB; MONTE CARLO METHODS; STATE ESTIMATION;

MATLAB SIMULATIONS; NONINTRUSIVE LOAD MONITORING; PARTICLE FILTERING; POWER CHARACTERISTIC; SEQUENTIAL MONTE CARLO; SINGLE POINT; UNSUPERVISED CLASSIFICATION;

ENERGY EFFICIENCY;

EID: 85107942667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2528282.2528306     Document Type: Conference Paper

References (5)

1. K. Anderson, M. Berges, A. Ocneanu, D. Benitez, and J. M. F. Moura. Event detection for non intrusive load monitoring. In Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society (IECON), 2012.
2. D. Egarter, A. Sobe, and W. Elmenreich. Evolving non-intrusive load monitoring. In Proceedings of the Applications of Evolutionary Computation Conference, 2013.
3. S. Geman and D. Geman. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6(6):721-741, 1984.
4. G. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80(12):1870-1891, 1992.
5. Z. Kolter and T. Jaakkola. Approximate inference in additive factorial HMMs with application to energy disaggregation. In In Proceedings of the International Conference on Artifical Intelligence and Statistics, 2012.