27 citations · 37 across the 17 of their papers we have counts for
3 papers · 1 filter
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework
Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou +2
This work proposes an uncertainty-informed bid adjustment framework for integrating variable renewable energy sources (VRES) into electricity markets. This framework adopts a bilev…
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…