The aggregated electrical load of a household network contains relevant information. Specifically, which loads are related to electrical appliances switched on. However, when real-world data is at stake, not only this specific data must be individually recognized, but also there is other non-relevant information that can be thought as noise in the electrical signal. Therefore, to extract the important information we need to use signal denoising algorithms. This work presents a comparison for the application of an algorithm based on Wavelet Decomposition versus the Singular Spectrum Analysis to the denoise of aggregated electrical signal. These techniques were applied both in an artificially generated signal as well as to the analysis of a signal obtained from an ordinary household. For the latter, the experiments highlighted a small set of wavelet functions that are more suitable for the problem being tackled. Finally, the comparison of the performance of each of the approaches applied to the same sampled signal data indicate the effectiveness of both denoising techniques for use over real data sets.
Keywords
Cross-Correlation, Electrical Signal, Signal Denoising, SSA, Wavelet Transform.
Subject
Signal Denoising, Non-Intrusive Load Monitoring Systems
Conference
Proc of the IEEE Intl Conf on Systems, Man and Cybernetics (SMC2011), pp.3329-3334, 2011 (DOI: 10.1109/ICSMC.2011.6084183), October 2011
Cited by
Year 2018 : 1 citations
Weichao, P.L., Bingo, K: Y. and Ling, W-K. "Grouping and Selecting Singular Spectrum Analysis Components for Denoising Via Empirical Mode Decomposition Approach". Circuits Systems and Signal Processing, 2018. DOI: 10.1007/s00034-018-0861-1
Year 2015 : 2 citations
IQing-Zhen Liang, Xing-Ming Guo, Wen-Ying Zhang, Wan-Di Dai, Xing-Hua Zhu, "Identification of Heart Sounds with Arrhythmia based on Recurrence Quantification Analysis and Kolmogorov Entropy", IEEE Journal of Medical and Biological Engineering (March 2015)
Mona Ibrahim, Samir Jemeib, Geneviève Wimmera, Nadia Yousfi Steinerb, Célestin C. Kokonendjia, Daniel Hisselb. Selection of mother wavelet and decomposition level for energy management in electrical vehicles including a fuel cell. International Journal of Hydrogen Energy. (Available online 7 July 2015)
Year 2014 : 2 citations
Lara-Santillán, Pedro M., et al. "A Comparative Study of Electric Load Curve Changes in an Urban Low-Voltage Substation in Spain during the Economic Crisis (2008–2013)." The Scientific World Journal 2014 (2014).
Dalen, Anders, and Christof Weinhardt. "Evaluating the impact of data sample-rate on appliance disaggregation." Energy Conference (ENERGYCON), 2014 IEEE International. IEEE, 2014.
Year 2013 : 1 citations
Gomez-Luna,E.; Aponte Mayor, G.; Gonzalez-Garcia, C.; Pleite Guerra, J.; ``Current status and future trends in frequency-response analysis with a transformer in service'' IEEE Transactions on Power Delivery, vol. 28 number: 2, 2013, pp, 1024-1031.
