Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/1240717/figures/1240717.fig.001a.svgz" name="1240717.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Logistic map sequences</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/1240717/figures/1240717.fig.001b.svgz" name="1240717.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Tent map sequences</td></tr></table>

<div>The 2-dimensional distribution of two chaotic systems.</div>

Mathematical Problems in Engineering

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Figure 1

Figure 1: Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction 