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eess.SY2023
Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder
Chenguang Wang, Ensieh Sharifnia, Simon H. Tindemans +1
Variational autoencoder (VAE) neural networks can be trained to generate power system states that capture both marginal distribution and multivariate dependencies of historical dat…
eess.SY2021★ 41 cited
Generating Multivariate Load States Using a Conditional Variational Autoencoder
Chenguang Wang, Ensieh Sharifnia, Zhi Gao +2
For planning of power systems and for the calibration of operational tools, it is essential to analyse system performance in a large range of representative scenarios. When the ava…