Sea surface temperature (SST) data derived from satellite and in situ measurements are used to study the thermal variability in the South China Sea (SCS). Time–frequency–energy distributions, periods of variability, and trends are computed by the Hilbert–Huang transform method. The SST trend from 1982 to 2005 is 0.276 C per decade in the SCS which is higher than 0.144 C per decade in the wester...

With widespread non-linear loads and the increasing penetration of distributed generations in power system, harmonic pollution has become a great concern. The causes not only include integer harmonics, but also interharmonics, which exacerbate complexity analysis. In addition, output variability highly renewables such as electric arc furnaces photovoltaic solar or wind generation may lead to we...

Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for change point discovery have been suggested including wavelet analysis, cosine transforms, CUMSUM, and Singular Spectrum Transform. Of these methods Singular Spectrum Transform (SST) have received much attention because...