Abstract: With the expansion of power grids and the growth of renewable energy generation, more uncertainties of topology (e.g., components outages) and injection (e.g., renewable energy outputs ...
Abstract: Recently, recurrent neural network (RNN) models have been extensively investigated for addressing time-dependent nonlinear optimization problems. However, few existing RNN models take ...
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