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ORCIDVladimir Dvorkin
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2020 – today
- 2026
[i20]Milad Hoseinpour, Shubhanshu Shekhar, Vladimir Dvorkin:
Outage Identification from Electricity Market Data: Quickest Change Detection Approach. CoRR abs/2601.13605 (2026)- [i19]Zhirui Liang, Jae-Won Chung, Mosharaf Chowdhury, Jiasi Chen, Vladimir Dvorkin:
GPU-to-Grid: Voltage Regulation via GPU Utilization Control. CoRR abs/2602.05116 (2026) - [i18]Yanyong Mao, Johanna L. Mathieu, Vladimir Dvorkin:
Online Feedback Optimization of Energy Storage to Smooth Data Center Grid Impacts. CoRR abs/2603.20564 (2026) - [i17]Xinwei Liu, Vladimir Dvorkin:
Online Electricity Pricing from Frequency Measurements. CoRR abs/2604.09931 (2026) - 2025
- [j5]Shengyang Wu
, Vladimir Dvorkin:
Synthesizing Grid Data With Cyber Resilience and Privacy Guarantees. IEEE Control. Syst. Lett. 9: 438-443 (2025) - [j4]Xinwei Liu, Vladimir Dvorkin:
Optimization Over Trained Neural Networks: Difference-of-Convex Algorithm and Application to Data Center Scheduling. IEEE Control. Syst. Lett. 9: 835-840 (2025) - [c5]Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Pierre Pinson, Jalal Kazempour:
Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming. CDC 2025: 8149-8156 - [i16]Dongwei Zhao, Stefanos Delikaraoglou, Vladimir Dvorkin, Alberto J. Lamadrid L., Audun Botterud:
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets. CoRR abs/2501.18732 (2025) - [i15]Shengyang Wu, Vladimir Dvorkin:
Synthesizing Grid Data with Cyber Resilience and Privacy Guarantees. CoRR abs/2503.14877 (2025) - [i14]Xinwei Liu, Vladimir Dvorkin:
Optimization over Trained Neural Networks: Difference-of-Convex Algorithm and Application to Data Center Scheduling. CoRR abs/2503.17506 (2025) - [i13]Milad Hoseinpour, Vladimir Dvorkin:
Domain-Constrained Diffusion Models to Synthesize Tabular Data: A Case Study in Power Systems. CoRR abs/2506.11281 (2025) - [i12]Milad Hoseinpour, Vladimir Dvorkin:
DiffOPF: Diffusion Solver for Optimal Power Flow. CoRR abs/2510.14075 (2025) - [i11]Minsoo Kim, Vladimir Dvorkin, Jip Kim:
Probabilistic Dynamic Line Rating with Line Graph Convolutional LSTM. CoRR abs/2512.04369 (2025) - 2024
- [i10]Vladimir Dvorkin:
Regression Equilibrium in Electricity Markets. CoRR abs/2405.17753 (2024) - [i9]Minsoo Kim, Vladimir Dvorkin, Jip Kim:
Probabilistic Dynamic Line Rating Forecasting with Line Graph Convolutional LSTM. CoRR abs/2411.12963 (2024) - 2023
- [j3]Vladimir Dvorkin, Audun Botterud:
Differentially Private Algorithms for Synthetic Power System Datasets. IEEE Control. Syst. Lett. 7: 2053-2058 (2023) - [c4]Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis:
Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. CDC 2023: 1575-1579 - [c3]Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud:
A Scalable Bilevel Framework for Renewable Energy Scheduling. e-Energy 2023: 226-230 - [i8]Vladimir Dvorkin, Audun Botterud:
Differentially Private Algorithms for Synthetic Power System Datasets. CoRR abs/2303.11079 (2023) - [i7]Vladimir Dvorkin, Ferdinando Fioretto:
Price-Aware Deep Learning for Electricity Markets. CoRR abs/2308.01436 (2023) - [i6]Vladimir Dvorkin:
Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility. CoRR abs/2309.16792 (2023) - [i5]Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud:
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework. CoRR abs/2312.03868 (2023) - 2022
- [j2]Vladimir Dvorkin, Anubhav Ratha, Pierre Pinson, Jalal Kazempour:
Stochastic Control and Pricing for Natural Gas Networks. IEEE Trans. Control. Netw. Syst. 9(1): 450-462 (2022) - [i4]Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis:
Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. CoRR abs/2209.08645 (2022) - [i3]Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud:
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework. CoRR abs/2211.13905 (2022) - 2020
- [c2]Vladimir Dvorkin, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Distributed Optimal Power Flow. CDC 2020: 2092-2097 - [i2]Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Optimal Power Flow for Distribution Grids. CoRR abs/2004.03921 (2020) - [i1]Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Convex Optimization with Feasibility Guarantees. CoRR abs/2006.12338 (2020)
2010 – 2019
- 2019
- [j1]Vladimir Dvorkin Jr., Jalal Kazempour, Pierre Pinson:
Electricity market equilibrium under information asymmetry. Oper. Res. Lett. 47(6): 521-526 (2019) - 2018
- [c1]Vladimir Dvorkin, Jalal Kazempour, Luis Baringo, Pierre Pinson:
A Consensus-ADMM Approach for Strategic Generation Investment in Electricity Markets. CDC 2018: 780-785
Coauthor Index
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