6 citations · 11 across the 9 of their papers we have counts for
4 papers · 1 filter
A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy Resources
Jinlei Wei, Sarthak Gupta, Dionysios C. Aliprantis +1
Deciding setpoints for distributed energy resources (DERs) via local control rules rather than centralized optimization offers significant autonomy. The IEEE Standard 1547 recommen…
[Re] Double Sampling Randomized Smoothing
Aryan Gupta, Sarthak Gupta, Abhay Kumar +1
This paper is a contribution to the reproducibility challenge in the field of machine learning, specifically addressing the issue of certifying the robustness of neural networks (N…
A Quantum Approach for Stochastic Constrained Binary Optimization
Sarthak Gupta, Vassilis Kekatos
Analytical and practical evidence indicates the advantage of quantum computing solutions over classical alternatives. Quantum-based heuristics relying on the variational quantum ei…
Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks
Sarthak Gupta, Ali Mehrizi-Sani, Spyros Chatzivasileiadis +1
Volt/VAR control rules facilitate the autonomous operation of distributed energy resources (DER) to regulate voltage in power distribution grids. According to non-incremental contr…