submitted

  1. arXiv
    Agent coordination via contextual regression (AgentCONCUR) for data center flexibility
    Vladimir Dvorkin
  2. arXiv
    Privacy-preserving convex optimization: When differential privacy meets stochastic programming
    Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, and 2 more authors

journal articles

  1. TEMPR
    Uncertainty-informed renewable energy scheduling: A scalable bilevel framework
    Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, and 2 more authors
    IEEE Transactions on Energy Markets, Policy and Regulation, 2023
  2. L-CCS
    Differentially private algorithms for synthetic power system datasets
    Vladimir Dvorkin, and Audun Botterud
    IEEE Control Systems Letters, 2023
  3. TPWRS
    Multi-stage decision rules for power generation & storage investments with performance guarantees
    Vladimir Dvorkin, Dharik Mallapragada, and Audun Botterud
    IEEE Transactions on Power Systems, 2023
  1. PSCC
    Multi-stage linear decision rules for stochastic control of natural gas networks with linepack
    Vladimir Dvorkin, Dharik Mallapragada, Audun Botterud, and 2 more authors
    Electric Power Systems Research, 2022
  1. CONES
    Stochastic control and pricing for natural gas networks
    Vladimir Dvorkin, Anubhav Ratha, Pierre Pinson, and 1 more author
    IEEE Transactions on Control of Network Systems, 2021
  2. TPWRS
    Differentially private optimal power flow for distribution grids
    Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, and 2 more authors
    IEEE Transactions on Power Systems, 2021
  1. OR Letters
    Electricity market equilibrium under information asymmetry
    Vladimir Dvorkin, Jalal Kazempour, and Pierre Pinson
    Operations Research Letters, 2019
  1. TPWRS
    Setting reserve requirements to approximate the efficiency of the stochastic dispatch
    Vladimir Dvorkin, Stefanos Delikaraoglou, and Juan M Morales
    IEEE Transactions on Power Systems, 2018

conference and workshop papers

  1. NeurIPS
    Price-aware deep learning for electricity markets
    Vladimir Dvorkin, and Ferdinando Fioretto
    In NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
  2. CDC
    Emission-aware optimization of gas networks: Input-convex neural network approach
    Vladimir Dvorkin, Samuel Chevalier, and Spyros Chatzivasileiadis
    In 62th IEEE Conference on Decision and Control (CDC), 2023
  3. ACM
    A scalable bilevel framework for renewable energy scheduling
    Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, and 2 more authors
    In Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
  1. CDC
    Differentially private distributed optimal power flow
    Vladimir Dvorkin, Pascal Van Hentenryck, Jalal Kazempour, and 1 more author
    In 2020 59th IEEE Conference on Decision and Control (CDC), 2020
  2. PMAPS
    Chance-constrained equilibrium in electricity markets with asymmetric forecasts
    Vladimir Dvorkin, Jalal Kazempour, and Pierre Pinson
    In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2020
  1. PowerTech
    Accommodating bounded rationality in pricing demand response
    Andrea Marin Radoszynski, Vladimir Dvorkin, and Pierre Pinson
    In 2019 IEEE Milan PowerTech, 2019
  1. CDC
    A consensus-ADMM approach for strategic generation investment in electricity markets
    Vladimir Dvorkin, Jalal Kazempour, Luis Baringo, and 1 more author
    In 2018 IEEE Conference on Decision and Control (CDC), 2018

thesis

  1. PhD Thesis
    Stochastic and private energy system optimization
    Vladimir Dvorkin
    Technical University of Denmark, 2021
  1. MSc Thesis
    Multi-stage strategic investment in CCGTs and wind power units via progressive hedging
    Vladimir Dvorkin
    Technical University of Denmark, 2017