Power-grid stability predictions using transferable machine learning

1 code implementation • 17 May 2021 • Seong-Gyu Yang, Beom Jun Kim, Seung-Woo Son, Heetae Kim

We test three different machine learning algorithms -- random forest, support vector machine, and artificial neural network -- training them with two different types of synthetic power grids consisting of homogeneous and heterogeneous input-power distribution, respectively.

BIG-bench Machine Learning