The article is part of the approach of finding the signatures for the individual household consumers using the voltage-current trajectories. Four classes of signatures are presented, known as: discontinuous tangent, tangent, ellipse, and hybrid. The functions describing the signatures are defined using a method based on non-linear regression and genetic algorithms. The method is implemented, with concrete results, on consumers from each of the four classes, starting with pairs of voltage-current values measured at low frequency, of approximately 20 Hz. This represents an important aspect from a practical point of view. There are four examples of signatures determined for: a laptop, a vacuum cleaner, a TV, and a fridge.
*This paper is based on two previous presentations in “The 12th International Symposium on Applied Computational Intelligence and Informatics (SACI 2018)”, and “ The 22nd International Conference on System Theory, Control and Computing (ICSTCC)” (see reference 3 and 4). This work integrates the previously presented methods in the category of regression methods, reduces the number of the parameters for the already known signatures and defines a new more complex class of signatures.
Voltage-current signature, Household consumers, Non-linear regression, Genetic algorithms.
Dadiana-Valeria CĂIMAN, Toma-Leonida DRAGOMIR, "Empirical Voltage-current Signatures for Individual Household Consumers Obtained by Non-linear Regression*", Studies in Informatics and Control, ISSN 1220-1766, vol. 28(2), pp. 201-212, 2019. https://doi.org/10.24846/v28i2y201908
All articles published by Studies in Informatics and Control (SIC) are published in accordance with the terms and conditions of the Creative Commons Attribution License (CC BY-NC-SA 4.0).