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In this paper, a new short-term load forecasting method is presented by conjunctive use of fuzzy c- mean clustering algorithm and weighted support vector machines (WSVMs). According to the similarity degree of input samples, the training samples are clustered, i.e., by means of the clustering of study samples the data possessed of homogenous characteristic are chosen and used as the input of forecast...
In this paper, wavelets and fuzzy support vector machines are used to automated detect and classify power quality (PQ) disturbances. Electric power quality is an aspect of power engineering that has been with us since the inception of power systems. The types of concerned disturbances include voltage sags, swells, interruptions, switching transients, impulses, flickers, harmonics, and notches. Fourier...
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