A Data-Driven Modeling Strategy for Smart Grid Power Quality Coupling Assessment Based on Time Series Pattern Matching

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/2765945/figures/2765945.fig.001a.svgz" name="2765945.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Segmentations of UPQTS</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/2765945/figures/2765945.fig.001b.svgz" name="2765945.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Segmentations of MPQTS</td></tr></table>

<div>Schematic of multidimensional segmentations based on local extremes points.</div>

Mathematical Problems in Engineering

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Figure 1

Figure 1: A Data-Driven Modeling Strategy for Smart Grid Power Quality Coupling Assessment Based on Time Series Pattern Matching 