Vladimir Dvorkin
Vladimir Dvorkin
University of Michigan
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Cited by
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Differentially private optimal power flow for distribution grids
V Dvorkin, F Fioretto, P Van Hentenryck, J Kazempour, P Pinson
IEEE Transactions on Power Systems, 2021
Setting reserve requirements to approximate the efficiency of the stochastic dispatch
V Dvorkin, S Delikaraoglou, JM Morales
IEEE Transactions on Power Systems 34 (2), 1524-1536, 2019
Electricity market equilibrium under information asymmetry
V Dvorkin, J Kazempour, P Pinson
Operations Research Letters 47 (6), 521-526, 2019
Short-term forecasting of prices for the Russian wholesale electricity market based on neural networks
IY Zolotova, VV Dvorkin
Studies on Russian Economic Development 28, 608-615, 2017
Differentially private distributed optimal power flow
V Dvorkin, P Van Hentenryck, J Kazempour, P Pinson
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
A consensus-ADMM approach for strategic generation investment in electricity markets
V Dvorkin, J Kazempour, L Baringo, P Pinson
2018 IEEE Conference on Decision and Control (CDC), 780-785, 2018
Accommodating bounded rationality in pricing demand response
AM Radoszynski, V Dvorkin, P Pinson
2019 IEEE Milan PowerTech, 1-6, 2019
Stochastic control and pricing for natural gas networks
V Dvorkin, A Ratha, P Pinson, J Kazempour
IEEE Transactions on Control of Network Systems 9 (1), 450-462, 2022
Multi-stage linear decision rules for stochastic control of natural gas networks with linepack
V Dvorkin, D Mallapragada, A Botterud, J Kazempour, P Pinson
Electric Power Systems Research 212, 108388, 2022
Differentially private algorithms for synthetic power system datasets
V Dvorkin, A Botterud
IEEE Control Systems Letters 7, 2053-2058, 2023
Differentially private convex optimization with feasibility guarantees
V Dvorkin, F Fioretto, P Van Hentenryck, J Kazempour, P Pinson
arXiv preprint arXiv:2006.12338, 2020
Chance-constrained equilibrium in electricity markets with asymmetric forecasts
V Dvorkin, J Kazempour, P Pinson
16th International Conference on Probabilistic Methods Applied to Power System, 2020
Price-aware deep learning for electricity markets
V Dvorkin, F Fioretto
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
Uncertainty-informed renewable energy scheduling: A scalable bilevel framework
D Zhao, V Dvorkin, S Delikaraoglou, A Botterud
arXiv preprint arXiv:2211.13905, 2022
Privacy-preserving convex optimization: When differential privacy meets stochastic programming
V Dvorkin, F Fioretto, P Van Hentenryck, P Pinson, J Kazempour
arXiv preprint arXiv:2209.14152, 2022
Stochastic and private energy system optimization
V Dvorkin
Technical University of Denmark, 2021
Multi-stage Strategic Investment in CCGTs and Wind Power Units via Progressive Hedging
V Dvorkin
MSc, Technical University of Denmark, 106, 2017
Multi-stage decision rules for power generation & storage investments with performance guarantees
V Dvorkin, D Mallapragada, A Botterud
IEEE Transactions on Power Systems, 2023
Evaluating Offshore Electricity Market Design Considering Endogenous Infrastructure Investments: Zonal or Nodal?
M Kenis, V Dvorkin, T Schittekatte, K Bruninx, E Delarue, A Botterud
IEEE Transactions on Energy Markets, Policy and Regulation, 2024
Emission-constrained optimization of gas networks: Input-convex neural network approach
V Dvorkin, S Chevalier, S Chatzivasileiadis
2023 62nd IEEE Conference on Decision and Control (CDC), 1575-1579, 2023
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