EvoNILM - Evolutionary appliance detection for miscellaneous household appliances

GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion

Volumn , Issue , 2013, Pages 1537-1544

  Egarter, Dominik ^a   Elmenreich, Wilfried ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

Evo lutionary algorithm; Load disaggregation; Non intrusive load monitoring

Indexed keywords

APPLICATION-ORIENTED; DETECTION PERFORMANCE; DISAGGREGATION; ENERGY AWARENESS; EVOLUTIONARY OPTIMIZATION ALGORITHM; HOUSEHOLD LEVEL; MATLAB SIMULATIONS; NONINTRUSIVE LOAD MONITORING;

DOMESTIC APPLIANCES;

EVOLUTIONARY ALGORITHMS;

EID: 84882396645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2464576.2482733     Document Type: Conference Paper

References (13)

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. K. C. Armel, A. Gupta, G. Shrimali, and A. Albert. Is disaggregation the holy grail of energy efficiency? the case of electricity. Energy Policy, 52(0):213-234, 2013.
3. H.-H. Chang, P.-C. Chien, L.-S. Lin, and N. Chen. Feature extraction of non-intrusive load-monitoring system using genetic algorithm in smart meters. In Proceedings of the IEEE 8th International Conference on e-Business Engineering (ICEBE), 2011.
4. H.-H. Chang, C.-L. Lin, and J.-K. Lee. Load identi-cation in nonintrusive load monitoring using steady-state and turn-on transient energy algorithms. In Proceedings of the 14th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pages 27-32, 2010.
5. R. Cox, S. Leeb, S. Shaw, and L. Norford. Transient event detection for nonintrusive load monitoring and demand side management using voltage distortion. In Proceedings of the 21st IEEE Applied Power Electronics Conference and Exposition (APEC), 2006.
6. M. Dong, P. C. M. Meira, W. Xu, and C. Y. Chung. Non-intrusive signature extraction for major residential loads. IEEE Transactions on Smart Grid, PP(99):1 -10, 2013.
7. D. Egarter, A. Sobe, and W. Elmenreich. Evolving non-intrusive load monitoring. In Proceedings of the Applications of Evolutionary Computation, volume 7835 of Lecture Notes in Computer Science, pages 182-191, 2013.
8. G. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80(12):1870-1891, 1992.
9. H. Kim, M. Marwah, M. F. Arlitt, G. Lyon, and J. Han. Unsupervised Disaggregation of Low Frequency Power Measurements. In Proceedings of the 11th SIAM International Conference on Data Mining, pages 747-758, 2011.
10. J. Liang, S. K. K. Ng, G. Kendall, and J. W. M. Cheng. Load signature study part i: Basic concept, structure, and methodology. IEEE Transactions on Power Delivery, 25(2):551-560, 2010.
11. F. Mattern, T. Staake, and M. Weiss. ICT for green: how computers can help us to conserve energy. In Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, e-Energy '10, pages 1-10, 2010.
12. K. Suzuki, S. Inagaki, T. Suzuki, H. Nakamura, and K. Ito. Nonintrusive appliance load monitoring based on integer programming. In Proceedings of the SICE Annual Conference, pages 2742-2747, 2008.
13. M. Zeifman and K. Roth. Nonintrusive appliance load monitoring: Review and outlook. IEEE Transactions on Consumer Electronics, 57(1):76 -84, 2011.