Non Intrusive Load Monitoring (NILM): A State of the Art-Reference-Cited by-同舟云学术

Non Intrusive Load Monitoring (NILM): A State of the Art

Published:2017-07-16 Issue: Volume: Page:125-138
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Revuelta Herrero Jorge,Lozano Murciego Álvaro,López Barriuso Alberto,Hernández de la Iglesia Daniel,Villarrubia González Gabriel,Corchado Rodríguez Juan Manuel,Carreira Rita

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-61578-3_12

Reference49 articles.

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3. Baranski, M., Voss, J.: Genetic algorithm for pattern detection in NIALM systems. In: IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), pp. 3462–3468. IEEE (2004). doi: 10.1109/ICSMC.2004.1400878 . ISBN: 0-7803-8567-5

4. Basu, K., Hably, A., Debusschere, V., Bacha, S., Driven, G.J., Ovalle, A.: A comparative study of low sampling non intrusive load dis-aggregation. In: IECON Proceedings (Industrial Electronics Conference), pp. 5137–5142 (2016). doi: 10.1109/IECON.2016.7793294

5. Darby, S.: The effectiveness of feedback on energy consumption a review for DEFRA of the literature on metering, billing and direct displays. In: Environmental Change Institute University of Oxford, 22 April, pp. 1–21 (2006). doi: 10.4236/ojee.2013.21002 . http://www.citeulike.org/user/cblock/article/4123593 . ISSN: 2169-2637

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