activity
20172026
most citedElectricity Market Equilibrium under Information Asymmetry

27 citations · 37 across the 17 of their papers we have counts for

collaborators

20 papers

eess.SY2026

Online Electricity Pricing from Frequency Measurements

Xinwei Liu, Vladimir Dvorkin

Frequency dynamics in power systems reflect active power imbalance in real time, thereby providing an instantaneous signal to inform electricity pricing. However, existing real-tim…

eess.SY2025

Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets

Dongwei Zhao, Stefanos Delikaraogloub, Vladimir Dvorkin Alberto J. Lamadrid L. +1

Coordination of day-ahead and real-time electricity markets is imperative for cost-effective electricity supply and also to provide efficient incentives for the energy transition.…

econ.GN2024

Evaluating Offshore Electricity Market Design Considering Endogenous Infrastructure Investments: Zonal or Nodal?

Michiel Kenis, Vladimir Dvorkin, Tim Schittekatte +3

Policy makers are formulating offshore energy infrastructure plans, including wind turbines, electrolyzers, and HVDC transmission lines. An effective market design is crucial to gu…

eess.SY2024

Regression Equilibrium in Electricity Markets

Vladimir Dvorkin

In two-stage electricity markets, renewable power producers enter the day-ahead market with a forecast of future power generation and then reconcile any forecast deviation in the r…

eess.SY2023★ 1 cited

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…

cs.LG2023★ 2 cited

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…