Abstract: In this work, the mathematical modelling and simulation of some of the phenomena that affect the power quality is presented, Discrete Wavelet Transform is applied to obtain characteristic patterns of each signal. With these patterns several intelligent classifiers (neural networks and support vector machine) are trained and determine which of these they have better results in terms of predicting the class to which belongs each of said patterns. Knowing the energy distributions of the coefficients of detail, a general power quality index is formulated and compared with the existing ones.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 10, 2015, Art. #2
Victor Garrido Arévalo, Jorge Luis Diaz R., Aldo Pardo Garcia, "Analysis of the Power Quality Using Intelligent Techniques," WSEAS Transactions on Power Systems, vol. 10, pp. 13-19, 2015, DOI:
Victor Garrido Arévalo, Jorge Luis Diaz R., Aldo Pardo Garcia. Analysis of the Power Quality Using Intelligent Techniques.
WSEAS Transactions on Power Systems. 2015;10:13-19.