An Improved Method for Load Taxonomy Using Sample Shifting Technique and Signature Analysis

References

• E. W. Golding, and F. C. Widdis, Electrical Measurements and Measuring Instruments. 5th ed. New Delhi: Wheeler Publishing, 1998.
   Google Scholar
• F. K. Harris, Electrical Measurements. New Delhi: Wiley Eastern, 1968.
   Google Scholar
• M. Munday, and D. G. Hart, “Methods for electric power measurements,” IEEE Trans. Power Eng. Soc. Summer Meet., vol. 3, pp. 1682–1685, 2002.
   Google Scholar
• C. Laughman et al., “Power signature analysis,” IEEE Power Energy Mag., vol. 1, pp. 56–63, 2003.
   Google Scholar
• J. Liang, S. K. K. Ng, G. Kendall, and J. W. M. Cheng, “Load signature study—part I: basic concept, structure, and methodology,” IEEE Trans. Power Deliv., vol. 25, no. 2, pp. 551–560, 2010. DOI:10.1109/TPWRD.2009.2033799.
   Web of Science ®Google Scholar
• A. S. Kulkarni, C. K. Harnett, and K. C. Welch, “EMF signature for appliance classification,” IEEE Sens. J., vol. 15, no. 6, pp. 3573–3581, 2015. DOI:10.1109/JSEN.2014.2379113.
   Web of Science ®Google Scholar
• T. D. Huang, W. S. Wang, and K. L. Lian, “A new power signature for nonintrusive appliance load monitoring,” IEEE Trans. Smart Grid, vol. 6, no. 4, pp. 1994–1995, 2015. DOI:10.1109/TSG.2015.2415456.
   Web of Science ®Google Scholar
• G. W. Hart, Nonintrusive appliance load monitoring, in Proc. of the IEEE, vol. 80, December, 1992, pp. 1870–1891.
   Google Scholar
• M. L. Marceau, and R. Zmeureanu, “Nonintrusive load disaggregation computer program to estimate the energy consumption of major end uses in residential buildings,” Energy Convers Manage., vol. 41, pp. 1389–1403, 2000. DOI:10.1016/S0196-8904(99)00173-9.
   Web of Science ®Google Scholar
• Y.-H. Lin, and M.-S. Tsai, “Development of an improved time–frequency analysis-based nonintrusive load monitor for load demand identification,” IEEE Trans. Instrum. Meas., vol. 63, no. 6, pp. 1470–1483, 2014. DOI:10.1109/TIM.2013.2289700.
   Web of Science ®Google Scholar
• C. Dinesh, B. W. Nettasinghe, R. I. Godaliyadda, M. P. B. Ekanayake, J. Ekanayake, and J. V. Wijayakulasooriya, “Residential appliance identification based on spectral information of low frequency smart meter measurements,” IEEE Trans. Smart Grid, vol. 7, no. 6, pp. 2781–2792, 2016. DOI:10.1109/TSG.2015.2484258.
   Web of Science ®Google Scholar
• X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler, “Design and implementation of a high-fidelity ac metering network, in Proc. IPSN’09, April, pp. 253–264, 2009.
   Google Scholar
• J. A. Paradiso, Some novel applications for wireless inertial sensors, NSTI-Nanotech 2006, www.nsti.org, ISBN 0-9767985-8-1 vol. 3, 2006
   Google Scholar
• Y. Kim, S. Thomas, M. C. Zainul, and B. Mani, “Srivastava, ViridiScope design and implementation of a fine grained power monitoring system for homes,” Proc. Ubicomp09, pp. 245–254, 2009.
   Google Scholar
• F. Sultanem, “Using appliance signatures for monitoring residential loads at meter panel level,” IEEE Trans. Power Deliv., vol. 6, no. 4, pp. 1380–1385, 1991. DOI:10.1109/61.97667.
   Web of Science ®Google Scholar
• K. H. Ting, M. Lucente, G. S. K. Fung, W. K. Leeand, and S. Y. R. H. “A Taxonomy of load signatures for single-phase electric appliances,” in Proc. IEEE PES Conf. Jun 2005, Brazil.
   Google Scholar
• H. Y. Lam, K. H. Ting, W. K. Lee, and G. S. K. Fung, “Building a Vector-based Load Taxonomy Using Electrical Load Signatures [CDROM],” in Proc. of the International Conference on Electrical Engineering (ICEE 2005), Kunming, China, July 1014 2005.
   Google Scholar
• H. Y. Lam, G. S. K. Fung, and W. K. Lee, “A novel method to construct taxonomy of electrical appliances based on load signatures,” IEEE Trans. Consumer Electron, vol. 53, no. 2, pp. 653–660, 2007. May DOI:10.1109/TCE.2007.381742.
   Web of Science ®Google Scholar
• D. He, L. Du, Y. Yang, R. Harley, and T. Habetler, “Front-End electronic circuit topology analysis for model-driven classification and monitoring of appliance loads in smart buildings, in,” IEEE Transactions Smart Grid, vol. 3, no. 4, pp. 2286–2293, 2012. Dec. DOI:10.1109/TSG.2012.2219327.
   Web of Science ®Google Scholar
• D. P. Huttenlocher, G. A. Klandermanand, and W. J. Rucklidge, “Comparing images using hausdorff distance,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 15, no. 9, pp. 850–862, 1993. Sept DOI:10.1109/34.232073.
   Web of Science ®Google Scholar
• A. K. Jain, and R. C. Dubey, Algorithms for Clustering Data. USA: Prentice Hall Pub., 1988.
   Google Scholar
• R. Saha, J. Bera, G. Sarkar, S. Chowdhuri, and A. Deb, “A simplified state-of-the-art sample shifting technique for microcontroller based single phase power measurement,” Measurement, vol. 58, pp. 459–467, 2014. DOI:10.1016/j.measurement.2014.08.016.
   Web of Science ®Google Scholar
• R. Y. (Ray) Kim, S. Y. Choi, and I. Y. Suh, “Instantaneous control of average power for grid tie inverter using single phase D-Q rotating frame with all pass filter,” in Proc. of the 30th Annual Conference of the IEEE Industrial Electronics Society, Busan, Korea, Nov. 2004, pp. 274–279.
   Google Scholar