Multi-Feature Load Detection Algorithm

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Abstract:

Each appliance determines a specific variation in power consumption when is switched from one state to another. Analysing the profile of this variation, a set of features can be extracted and further used to detect the consumers transitions. Based on this principle, a multi-feature load detection algorithm is presented in this paper. The algorithm detects the transient profiles, extracts their features and by comparing them with the ones from a database it can detect which consumer generated that transient profile. Providing this information to the user, can offer him an overview of how energy is consumed and help him detect possibilities to reduce the consumption.

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448-454

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] A.S. Ardeleanu., M. Cretu and C. Donciu: Proceedings of 7th International Conference on Management of Technological Changes vol. 2 (2011), p.553.

Google Scholar

[2] G.W. Hart: Proceedings of the IEEE vol. 80 (1992), p.1870.

Google Scholar

[3] H.H. Chang, C.L. Lin and J.K. Lee: Proceeding of the 14th International Conference on Computer Supported Cooperative Work in Design (2010), p.27.

Google Scholar

[4] U.A. Khan S.B. Leeb and M.C. Lee: IEEE Transactions on Power Delivery vol. 12 (1997), p.51.

Google Scholar

[5] S.B. Leeb and J.L. Kirtley: Proceedings of the IECON vol. 1 (1993), p.354.

Google Scholar

[6] L.K. Norford and S.B. Leeb: Energy and Buildings vol. 24 (1996), p.51.

Google Scholar

[7] A.I. Cole and A. Albicki: Proceedings of the IEEE instrumentation and measurement technology conference (2000), p.24.

Google Scholar

[8] C. Laughman, K. Lee, R. Cox, S. Shaw, S. Leeb S., L. Norford and P. Armstrong: IEEE Power and Energy Magazine vol. 1 (2003), p.56.

DOI: 10.1109/mpae.2003.1192027

Google Scholar

[9] K.D. Lee, S.B. Leeb, L.K. Norford, P.R. Armstrong, J. Holloway and S.R. Shaw: IEEE Transactions on Energy Conversion vol. 20 (2005), p.566.

DOI: 10.1109/tec.2005.852963

Google Scholar

[10] S.R. Shaw, S.B. Leeb, L.K. Norfold and R.W. Cox: IEEE Transactions on Instrumentation and Measurement vol. 57 (2008), p.1445.

Google Scholar

[11] D. Srinivasan, W.S. Ng and A.C. Liew: IEEE Transactions on Power Delivery vol. 21 (2006), p.398.

Google Scholar

[12] W. Wichakool, A.T. Avestruz, R.W. Cox and S.B. Leeb: IEEE Transactions on Power Electronics vol. 24 (2009), p.2803.

DOI: 10.1109/tpel.2009.2029231

Google Scholar

[13] J. Liang, S.K.K. Ng, G. Kendall and J.W.M. Cheng: IEEE Transactions on Power Delivery vol. 25 (2010), p.551.

Google Scholar

[14] J. Liang, S.K.K. Ng, G. Kendall and J.W.M. Cheng: IEEE Transactions on Power Delivery vol. 25 (2010), p.561.

Google Scholar

[15] S.N. Patel, T. Robertson, J.A. Kientz, M.S. Reynolds and G.D. Abowd: Proceedings of the 9th International Conference on Ubiquitous computing (2007), p.271.

Google Scholar

[16] A.S. Ardeleanu and C. Donciu: Proceedings of 2012 International Conference and Exposition on Electrical and Power Engineering (2012), p.792.

Google Scholar