A. , Power quality event detection using adaline, Electric Power Systems Research, vol.64, issue.2, pp.137-144, 2003.

M. Abdollahi, F. Abdollahi, and . Matifar, Frequncy estimation: A leastsquares new approach, IEEE Transactions on Power Delivery, vol.26, issue.2, pp.790-798, 2011.

(. Ai, Adaline and its application in power quality disturbances detection and frequency tracking, Electric Power Systems Research, vol.77, issue.5-6, pp.462-469, 2007.

H. Akagi, New trends in active filters for power conditioning, IEEE Transactions on Industry Applications, vol.32, pp.1312-1322, 1996.

H. Akagi, Active harmonic filter, Proceedings of IEEE, vol.93, pp.12-45, 2005.

A. , On-line harmonic estimation in power system based on sequential training radial basis function neural network, 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp.12-14, 1992.

M. Baranski, J. Voss, ;. Baranski, J. Voss, ;. Barros et al., On the use of the Hanning window for harmonic analysis in the standard framework, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, vol.4, pp.377-382, 1995.

. Biwas, Neural Network Applications in Power Electronics and Motor Drivers -An Introduction and Perspective, IEEE Trans. on Industrial Electronics, vol.13, issue.5, pp.14-33, 2007.

C. Bracale, G. Bracale, and . Carpinelli-;-cabal-yepez, An ESPRIT and DFT-based new method for the waveform distortion assessment in power systems, The 20th International Conference and Exhibition on Electricity Distribution -Part, pp.1-17, 2009.

C. , Load identification in neural networks for a non-intrusive monitoring of industrial electrical loads, Annual Conference of the IEEE Industrial Electronics Society, vol.5236, pp.664-674, 2008.

C. , A two-stage ADALINE for harmonics and interharmonics measurement, IEEE Transactions on Industrial Electronics, vol.56, pp.2171-2179, 2009.

H. H. Chang-;-c-i.-chen and G. W. Chang, Non-intrusive demand monitoring and load identification for energy management systems based on transient feature analyses, Energies, vol.5, pp.4569-4589, 2009.

C. , The study on FFT harmonic detecting method of rural network based on wavelet denoising, 2009 International Conference on Energy and Environment Technology (ICEET '09), vol.2, pp.16-18, 2009.

Y. Chen, Harmonic Detection in Electric Power System Based on Wavelet Multi-resolution Analysis, 2008.

A. I. Cole and A. Albicki, Data extraction for effective nonintrusive identification of residential power loads, Conference Proceedings of 1998 IEEE Instrumentation and Measurement Technology Conference (IMTC/98), vol.5, pp.812-815, 1998.

C. , A. Cole, A. Albicki, ;. Cooley, T. W. Cooley et al., Running DFT-based PLL algorithm for frequency, phase, and amplitude tracking in aircraft electrical systems, Nonintrusive identification of electrical loads in a three-phase environment based on harmonic content, vol.716, pp.1730-1735, 1965.

(. Dash, An adaptive neural network approach for estimation of power system frequency, Electric Power Systems Research, vol.41, pp.203-210, 1997.

(. Dash, A hybrid unscented filtering and particle swarm optimization technique for harmonic analysis of nonstationary signals, Electric Power Systems Research, vol.46, pp.1447-1457, 1998.

. El-shatshat, Power quality improvement in 3-phase 3-wire distribution systems using modular active power filter, Electric Power Systems Research, vol.61, issue.3, pp.185-194, 2002.

Z. Farinaccio, R. Farinaccio, . Zmeureanu, and . Figueiredo, Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses, International Conference on Ubiquitous Computing, vol.30, pp.26-29, 1995.

F. J. Harris-;-g, ;. Hart, R. K. Hartana, G. G. Hartana, ;. S. Richards et al., On the use of windows for harmonic analysis with the discrete Fourier transform, Neural Networks: A Comprehensive Foundation, vol.66, pp.1098-1104, 1978.

(. Hazas, , 2011.

M. Hazas, A. Friday, and J. Scott, Look back before leaping forward: Four decades of domestic energy inquiry, IEEE Pervasive Computing, vol.10, issue.1, pp.13-19, 2011.
DOI : 10.1109/mprv.2010.89
URL : http://www.comp.lancs.ac.uk/%7Ehazas/Hazas11_LookBackBeforeLeapingForward.pdf

A. E. Huang, N. O. Huang, and . Attoh-okine, The Hilbert-Huang Transform in Engineering, 2005.

. Huang, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proceedings of the Royal Society of London, vol.454, pp.903-995, 1998.

S. K. Jain, S. N. Jain, and . Singh, ESPRIT assisted artificial neural network for harmonics detection of time-varying signals, 2012 IEEE Power and Energy Society General Meeting, pp.22-26, 2012.

(. Janani, ;. K. Himavathi, S. Janani, and . Himavathi-;-jin, Robust adaptive event detection in non-intrusive load monitoring for energy aware smart facilities, 2013 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), pp.4340-4343, 2011.

R. E. Kalman, A new approach to linear filtering prediction problems, Transactions of ASME Journal of Basic Engineering, vol.82, pp.35-45, 1960.
DOI : 10.1115/1.3662552

(. Karimi, -. Iravani, ;. Karimi-ghartemani, and M. R. Iravani, Wide-range, fast and robust estimation of power system frequency," in disaggregation, Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), pp.1472-1482, 2003.

J. Z. Kolter, M. J. Kolter, and . Johnson, REDD: A public data set for energy disaggregation research, ACM Special Interest Group on Knowledge Discovery and Data Mining, Workshop on Data Mining Applications in Sustainability, 2011.

(. Köse, Interharmonics analysis of power signals with fundamental frequency deviation using Kalman filtering, IEEE Transactions on Consumer Electronics, vol.80, pp.56-63, 2003.

(. Lavopa, Real-time estimation of fundamental frequency and harmonics for active shunt power filters in aircraft electrical systems, IEEE Transactions on Industrial Electronics, vol.56, issue.8, pp.2875-2884, 2009.

(. Lee, , 2004.

. Lucente, Exploration on Load Signatures, Proceedings of International Conference on Electrical Engineering (ICEE), pp.4-6, 2004.

(. Li, Load signature study-Part I: Basic concept, structure, and methodology, 2012 Proceedings of International Conference on Modelling, Identification & Control (ICMIC), vol.25, pp.115-133, 1943.

S. Mishra, . ;-r.-missaoui, and . Badreddine, Gestion énergétique optimisée pour un bâtiment intelligent multi-sources multi-charges : différents principes de validations, IEEE Transactions on Evolutionary Computation, vol.9, pp.61-73, 2005.

M. B. Moody, R. G. Moody, and . Mark, A database to support development and evaluation of intelligent intensive care monitoring, Computers in Cardiology, pp.657-660, 1996.

S. Mori, S. Mori, and . Suga-;-najmeddine, A new approach based on a linear Multi-Layer Perceptron for identifying on-line harmonics, Power system harmonics prediction with an artificial neural network, vol.2, pp.475-482, 1991.

W. Nguyen, T. M. Nguyen, P. Wira, and ;. Wira, A linear Multi-Layer Perceptron for identifying harmonic contents of biomedical signals, 9th International Conference on Artificial Intelligence Applications an Innovation (AIAI 2013), 2013.
URL : https://hal.archives-ouvertes.fr/hal-01459618

. Nguyen, Harmonics identification with artificial neural networks: application to active power filtering, International Journal of Emerging Electric Power Systems, vol.12, issue.5, pp.1-27, 2011.
DOI : 10.2202/1553-779x.2783
URL : https://hal.archives-ouvertes.fr/hal-00851870

L. K. Norford, S. B. Norford, and . Leeb, Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms, Energy and Buildings, vol.24, issue.1, pp.51-64, 1996.

(. Onoda, Applying support vector machine and boosting to a non-intrusive monitoring system for household electric appliances with Inverters, Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN '02), vol.3, pp.2186-2191, 2000.

A. (ould, A unified artificial neural network architecture for active power filters, IEEE Transactions on Industrial Electronics, vol.54, issue.1, pp.61-76, 2007.

J. Pan and W. J. Tompkins, A real-time QRS detection algorithm, IEEE Transactions on Biomedical Engineering, issue.3, pp.230-236, 1985.

(. Parson, At the flick of a switch: Detecting and classifying unique electrical events on the residential power line, Proceedings of the 9th International Conference on Ubiquitous Computing, vol.217, pp.271-288, 2007.

(. Paulraj, An application of neural network for harmonic detection in active filter, Proceeding of IEEE International Conference on Neural Networks, vol.74, pp.3756-3760, 1986.

. Pecharanin, Time-frequency representation of digital signals and systems based on short-time Fourier analysis, Proceedings of 1995 IEEE International Conference on Neural Networks, vol.2, pp.86-92, 1969.

S. K. Ray, B. Ray, B. Subudhi-;-z.-ren, and . Wang-;-roos, The perceptron: a probabilistic model for information storage and organization in the brain, 1994 IEEE Instrumentation and Measurement Technology Conference (IMTC/94), vol.64, pp.386-408, 1958.

. (rukonuzzaman, An application of neural network in power system harmonic detection, Real-Time Recognition and Profiling of Appliances through a Single Electricity Sensor," in 2010 7th Annual IEEE Workshop on Non-Intrusive Load Monitoring, vol.1, pp.74-78, 1998.

M. L. Sharma, A. K. Sharma, . Mahalanabis, and . Shaw, Variable Constraint based Least Mean Square algorithm for power system harmonic parameter estimation, 2014 International Conference on Information Communication and Embedded Systems (ICICES), vol.61, pp.398-405, 1973.

;. Conference, . Subudhi, ). B. Ray, P. K. Subudhi, ;. Ray et al., A hybrid Adaline and Bacterial Foraging approach to power system harmonics estimation, 2010 International Conference on Industrial Electronics, Control & Robotics (IECR), vol.6, pp.67-77, 1991.

T. Tarasiuk and . Temurtas, An application of neural networks for harmonic coefficients and relative phase shifts detection, Estimator-analyzer of power quality: Part IMethods and algorithms, vol.44, pp.33-40, 2004.

. Testa, On the processing of harmonics and interharmonics: using Hanning window in standard framework, IEEE Transactions on Power Delivery, vol.19, pp.37-56, 2004.

S. Trenn and . Tümay, Multilayer perceptrons: approximation order and necessary number of hidden units, IEEE Transactions on Neural Networks, vol.19, pp.585-593, 2008.

M. Vasumathi, S. Vasumathi, ;. Moorthi, S. Vasumathi, . Moorthi et al., Harmonic estimation using Modified ADALINE algorithm with Time-Variant Widrow -Hoff (TVWH) learning rule, 2011 IEEE Symposium on Computers & Informatics (ISCI), vol.25, p.9, 2001.

, European Conference on Power Electronics and Applications, 2001.

L. Wang, Y. Wang, ;. Z. Lu, G. Wang, . Zheng et al., Residential appliances identification and monitoring by a nonintrusive method, LMS learning algorithms: Misconceptions and new results on convergence, vol.3, pp.47-56, 0200.

(. Wang, Hybrid waveletHilbert-Huang spectrum analysis, Oceans -Europe 2005, vol.2, pp.20-23, 2005.

T. T. Wang, ;. Widrow, and M. A. Lehr, 30 years of adaptive neural networks: perceptron, madaline, and backpropagation, Proceeding, vol.39, pp.1415-1442, 1990.

W. Widrow, E. Widrow, and . Walach, Adaptive Inverse Control, 1996.

(. Widrow, Fundamental relations between the LMS algorithm and the DFT, ) B. Wilamowski, Neural Network Architectures, vol.34, pp.6-17, 1987.

S. Winograd-;-p.-wira and T. M. Nguyen, Adaptive learning for on-line harmonic identification: An overview with study cases, International Joint Conference on Neural Networks, vol.32, pp.175-199, 1978.

P. Wira and T. M. Nguyen, Current harmonic estimation in power transmission lines using Multi-Layer Perceptron learning strategies, Journal of Electrical Engineering, vol.5, pp.219-230, 2017.

(. Wira, Learning and adaptive techniques for harmonics compensation in power supply networks, 14th IEEE Mediterranean Electrotechnical Conference (MELECON' 2008), pp.719-725, 2008.

(. Wira, Artificial neural networks to improve current harmonics identification and compensation, Intelligent Industrial Systems: Modelling, Automation and Adaptive Behaviour, G. Rigatos, pp.256-290, 2010.

(. Wong, Comparative study of event detection methods for non-intrusive appliance load monitoring, 2013 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG), pp.1840-1843, 2013.

Y. , L. Ye, X. Liu, and ;. Yoshimoto, The harmonic detection based on wavelet transform and FFT for electric ARC furnaces, 2009 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2009), vol.7, pp.183-194, 2000.

Y. , Y. Yu, L. Yang, and . Zadeh, Combination of Kalman Filter and Least-Error Square Techniques in Power System, International Conference on Computational Intelligence and Software Engineering, vol.25, pp.76-84, 2009.

M. Zeifman and . Zeng, Disaggregation of home energy display data using probabilistic approach, IEEE Transactions on Consumer Electronics, vol.58, pp.515-519, 2006.

C. Zhan, H. Zhan, . Cheng, and . Zhang, A robust support vector algorithm for harmonic and interharmonic analysis of electric power system, 9th International Conference on Electronic Measurement & Instruments (ICEMI '09), vol.73, pp.7-10, 2005.

(. Zoha, Nonintrusive load monitoring approaches for disaggregated energy sensing: A survey, pp.16838-16866, 2012.