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eess.SY2025
Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids
Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka +1
The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper l…
cs.LG2025
Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network
Young-ho Cho, Hao Zhu, Duehee Lee +1
For conducting resource adequacy studies, we synthesize multiple long-term wind power scenarios of distributed wind farms simultaneously by using the spatio-temporal features: spat…
eess.SY2025
PGLib-CO2: A Power Grid Library for Real-Time Computation and Optimization of Carbon Emissions
Young-ho Cho, Min-Seung Ko, Hao Zhu
Achieving a sustainable electricity infrastructure requires the explicit integration of carbon emissions into power system modeling and optimization. However, existing open-source…