46 citations · 87 across the 16 of their papers we have counts for
3 papers · 1 filter
Computing Rare Probabilities of Voltage Collapse
Tongtong Jin, Anirudh Subramanyam, D. Adrian Maldonado
This paper introduces a framework based on Large Deviation Theory (LDT) to accurately and efficiently compute the rare probabilities of voltage collapse. We formulate the problem a…
Decision-Scaled Scenario Approach for Rare Chance-Constrained Optimization
Jaeseok Choi, Anand Deo, Constantino Lagoa +1
Chance-constrained optimization is a suitable modeling framework for safety-critical applications where violating constraints is nearly unacceptable. The scenario approach is a pop…
Machine Learning-Enabled Large-Scale Capacity Expansion Planning under Uncertainty
Taehyeon Kwon, Anirudh Subramanyam
Capacity expansion planning under uncertainty requires selecting a scenario count and representative operational horizon to estimate average production costs. Small choices risk un…