2 citations · 3 across the 4 of their papers we have counts for
4 papers
Outage Identification from Electricity Market Data: Quickest Change Detection Approach
Milad Hoseinpour, Shubhanshu Shekhar, Vladimir Dvorkin
Power system outages expose market participants to significant financial risk unless promptly detected and hedged. We develop an outage identification method from public market sig…
Synthesizing Grid Data with Cyber Resilience and Privacy Guarantees
Shengyang Wu, Vladimir Dvorkin
Differential privacy (DP) provides a principled approach to synthesizing data (e.g., loads) from real-world power systems while limiting the exposure of sensitive information. Howe…
Price-Aware Deep Learning for Electricity Markets
Vladimir Dvorkin, Ferdinando Fioretto
While deep learning gradually penetrates operational planning, its inherent prediction errors may significantly affect electricity prices. This letter examines how prediction error…
Differentially Private Algorithms for Synthetic Power System Datasets
Vladimir Dvorkin, Audun Botterud
While power systems research relies on the availability of real-world network datasets, data owners (e.g., system operators) are hesitant to share data due to security and privacy…