A bibliometric review on identifying similar loads in Smart Grid


  • Victor Pereira Firmes Universidade Federal do Espírito Santo
  • Wanderley Cardoso Celeste Universidade Federal do Espírito Santo




Load Identification; Similar loads; Smart grid; Non-Intrusive Load Monitoring.


In light of the need to consciously use energy resources for sustainable growth, the smart grid concept has served as a reference for the efficient use of such resources, especially the electric. However, the application of such concept in electrical installations requires the development of devices that allow the autonomous monitoring of electrical and electronic appliances in such installations. This article aims to carry out a bibliometric review on non-intrusive load monitoring methods to show the state of the art of this subject, that is, the main advances and obstacles to the development of this technology. A quantitative and qualitative analysis of the works related to the theme searched through the Web of Science database is performed. As result of such research, it is cited the observance of the relevance of the studies in this area, which is in full growth. It is also mentioned the fact that the theme is being investigated in developed countries, like Canada and the United States, as well as in developing countries, like Malaysia and India, which shows that there is a global concern in advancing in such a problem that independent of the nation's economic situation.


AHMADI, H.; MARTÍ, J. R. Load Decomposition at Smart Meters Level Using Eigenloads Approach. IEEE Transactions on Power Delivery, v. 30, n. 6, p. 3425-3436, 2015.

BELLEY, C.; GABOURY, S.; BOUCHARD, B.; BOUZOUANE, A. An efficient and inexpensive method for activity recognition within a smart home based on load signatures of appliances. Pervasive and Mobile Computing. v. 12, p. 58-78, 2014.

CALAMERO, N.; BECK, Y.; SHMILOVITZ, D. Defining the Unique Signatures of Load Using the Currents’ Physical Components Theory and Z-Transform. IEEE Transactions on Industrial Informatics, v. 11, n. 1, p. 155-165, 2015.

ESA, N. F.; ABDULLAH, Md. P.; HASSAN, M. Y. A review disaggregation method in Non-intrusive Appliance Load Monitoring. Renewable and Sustainable Energy Reviews. V. 66, p. 163-173, 2016.

GONZÁLEZ, M.; DEBUSSCHÈRE, V.; BACHA, SEDDIK. A Load Identification Method for Residential Building Applications. Industrial Technology, IEEE International Conference. p.84-88, 2012.

GURSOY, E.; NIEBUR, D. Harmonic Load Identification Using Complex Independent Component Analysis. IEEE Transactions on Power Delivery, v. 24, n. 1, p. 285-292, 2009.

HART, G. W. Nointrusive Appliamce Load Data Acquistion Method: Progress Report. MIT Energy Laboratory, 1984.

HART, G. W. Nointrusive appliance load monitoring. Proceedings of the IEEE, v. 80, n. 12, p. 1870-1891, 1992.

HASSAN, T.; JAVED, F.; ARSHAD, N.; An Empirical Investigation of V-I Trajectory based Load Signatures for Non-Intrusive Load Monitoring. IEEE Transactions on Smart Grid, v. 5, n. 2, p. 870-878, 2014.

HE, D.; DU, L.; YANG, Y.; HARLEY, R.; HABETLER, T. Front-End Electronic Circuit Topology Analysis for Model-Driven Classification and Monitoring of Appliance Loads in Smart Buildings. IEEE Transactions on Smart Grid. v. 3, n. 4, p. 2286-2293, 2012.

LAM, H. Y.; FUNG, G. S. K; LEE, W. K. A novel method to construct taxonomy electrical appliances based on load signatures. IEEE Transactions on Consumer Electronics, v. 53, n. 2, 2007.

RAYUDU, R. K.; TYLER, C.; WITHERDEN, M. S. Towards a tool for non-intrusive individual load measurement and identification. Innovative Smart Grid Technologies Asia, IEEE PES, p. 1-8, 2011.

SADEGHIANPOURHAMAMI, N.; RUYSSINCK, J.; DESCHRIJVER, D; DHAENE, T.; DEVELDER, C. Comprehensive features selection for appliance classification in NILM. Energy and Building, v. 151, p. 98-106, 2017

SINGH, M.; KUMAR, S.; SEMWAL, S.; PRASAD, R. S. Residential Load Signature Analysis for Their Segregation Using Wavelet—SVM. Power Electronics and Renewable Energy Systems, v. 326, pp. 863-871, 2015.

SULTANEM, F. Using appliance signatures for monitoring residential loads at meter panel level. IEEE Transactions on Power Delivery, v. 6, n. 4, p. 1380-1385, 1991.



How to Cite

FIRMES, V. P.; CELESTE, W. C. A bibliometric review on identifying similar loads in Smart Grid. Research, Society and Development, [S. l.], v. 7, n. 12, p. e11712497, 2018. DOI: 10.33448/rsd-v7i12.497. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/497. Acesso em: 28 sep. 2021.