41 citations · 49 across the 4 of their papers we have counts for
4 papers
Feedback Enhancement of Time Series Aggregation for Power System Expansion Planning
Ruiqi Zhang, Ensieh Sharifnia, Simon H. Tindemans
As a consequence of the high variability of load demand and renewable generation, long-term and high-resolution inputs are required for power system expansion planning, making the…
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…
Multilevel Monte Carlo with Surrogate Models for Resource Adequacy Assessment
Ensieh Sharifnia, Simon Tindemans
Monte Carlo simulation is often used for the reliability assessment of power systems, but it converges slowly when the system is complex. Multilevel Monte Carlo (MLMC) can be appli…
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…