An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems

Author:

Figueiredo Marisa B.,de Almeida Ana,Ribeiro Bernardete

Publisher

Springer Berlin Heidelberg

Reference15 articles.

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2. Sultanem, F.: Using appliance signatures for monitoring residential loads at meter panel level. IEEE Transactions on Power Delivery 6, 1380–1385 (1991)

3. Leeb, S.B.: A conjoint pattern recognition approach to nonintrusive load monitoring. PhD thesis, Massachusetts Institute of Technology (1993)

4. Cole, A., Albicki, A.: Data extraction for effective non-intrusive identification of residential power loads. In: Instrumentation and Measurement Technology Conf., IMTC 1998. Conf. Proc. IEEE, vol. 2, pp. 812–815 (1998)

5. Cole, A., Albicki, A.: Algorithm for non intrusive identification of residential appliances. In: Proc. of the 1998 IEEE Intl. Symposium on Circuits and Systems, ISCAS 1998, vol. 3, pp. 338–341 (1998)

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