Parameters Identification for Photovoltaic Module Based on an Improved Artificial Fish Swarm Algorithm

<div class="floats-full-page floats-full-page-figure"><h2>Figure 9</h2><div class="floats-full-page-caption"><table>Convergence process of standard AFSA and AFSA with MO for parameters identification.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image"><td><img alt="859239.fig.009" src="https://static-01.hindawi.com/articles/tswj/volume-2014/859239/figures/859239.fig.009.jpg" /></td></tr></table></div></div>

Figure 9 | Parameters Identification for Photovoltaic Module Based on an Improved Artificial Fish Swarm Algorithm

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Figure 9: Parameters Identification for Photovoltaic Module Based on an Improved Artificial Fish Swarm Algorithm

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Figure 9

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