48 citations · 333 across the 22 of their papers we have counts for
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cs.LG2022★ 7 cited
Generating Contextual Load Profiles Using a Conditional Variational Autoencoder
Chenguang Wang, Simon H. Tindemans, Peter Palensky
Generating power system states that have similar distribution and dependency to the historical ones is essential for the tasks of system planning and security assessment, especiall…
eess.SY2022★ 4 cited
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…