5 citations · 13 across the 4 of their papers we have counts for
4 papers
Towards Scalable FMI-based Co-simulation of Wind Energy Systems Using PowerFactory
Arjen A van der Meer, Rishabh Bhandia, Edmund Widl +5
Due to the increased deployment of renewable energy sources and intelligent components the electric power system will exhibit a large degree of heterogeneity, which requires inclus…
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm
Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque +1
The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system's complexity, especially when it comes to defining its operati…
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…
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling
Hou Shengren, Edgar Mauricio Salazar, Pedro P. Vergara +1
Taking advantage of their data-driven and model-free features, Deep Reinforcement Learning (DRL) algorithms have the potential to deal with the increasing level of uncertainty due…