Data-Driven Distributionally Robust Optimal Power Flow for Distribution Systems. - Robert Mieth; Yury Dvorkin (IEEE Control. Syst. Lett., 2018)

Distribution Electricity Pricing under Uncertainty. - Robert Mieth; Yury Dvorkin (CoRR, 2019)

Risk- and Variance-Aware Electricity Pricing. - Robert Mieth; Jip Kim; Yury Dvorkin (CoRR, 2019)

Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening. - Richard Weinhold; Robert Mieth (CoRR, 2019)

Stochastic and Distributionally Robust Load Ensemble Control. - Ali Hassan 005; Robert Mieth; Deepjyoti Deka; Yury Dvorkin (CoRR, 2019)

Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. - Ali Hassan 005; Robert Mieth; Michael Chertkov; Deepjyoti Deka; Yury Dvorkin (IEEE Trans. Smart Grid, 2019)

Computing a Strategic Decarbonization Pathway: A Chance-Constrained Equilibrium Problem. - Jip Kim; Robert Mieth; Yury Dvorkin (CoRR, 2020)

Co-Control of VaR and CVaR forData-Driven Stochastic Demand Response Auction. - Matt Roveto; Robert Mieth; Yury Dvorkin (CoRR, 2020)

Co-Optimization of VaR and CVaR for Data-Driven Stochastic Demand Response Auction. - Matt Roveto; Robert Mieth; Yury Dvorkin (IEEE Control. Syst. Lett., 2020)

Online Learning for Network Constrained Demand Response Pricing in Distribution Systems. - Robert Mieth; Yury Dvorkin (IEEE Trans. Smart Grid, 2020)

Leveraging Digital Twins for Compatibility Checks in Production Systems Engineering. - Felix Ocker; Birgit Vogel-Heuser; Hauke Schön; Robert Mieth (IEEM, 2021)

Risk-Aware Dimensioning and Procurement of Contingency Reserve. - Robert Mieth; Yury Dvorkin; Miguel A. Ortega-Vazquez (CoRR, 2021)

Electricity and Reserve Pricing in Chance-Constrained Electricity Markets with Asymmetric Balancing Reserve Policies. - Alvaro Gonzalez-Castellanos; Anton Hinneck; Robert Mieth; David Pozo; Yury Dvorkin (CoRR, 2021)

Inertia Pricing in Stochastic Electricity Markets. - Zhirui Liang; Robert Mieth; Yury Dvorkin (CoRR, 2021)

Uncertainty-Aware Capacity Allocation in Flow-Based Market Coupling. - Richard Weinhold; Robert Mieth (CoRR, 2021)

Operation-Adversarial Scenario Generation. - Zhirui Liang; Robert Mieth; Yury Dvorkin (CoRR, 2021)

Risk Trading in a Chance-Constrained Stochastic Electricity Market. - Robert Mieth; Matt Roveto; Yury Dvorkin (IEEE Control. Syst. Lett., 2021)

Power Market Tool (POMATO) for the analysis of zonal electricity markets. - Richard Weinhold; Robert Mieth (SoftwareX, 2021)

Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City. - Samuel Eckstrom; Graham Murphy; Eileen Ye; Samrat Acharya; Robert Mieth; Yury Dvorkin (CoRR, 2022)

Weather-Driven Flexibility Reserve Procurement. - Zhirui Liang; Robert Mieth; Yury Dvorkin; Miguel A. Ortega-Vazquez (CoRR, 2022)

Quantifying Electricity Demand for 100% Electrified Transportation in New York City. - Jingrong Zhang; Amber Jiang; Brian Newborn; Sara Kou; Robert Mieth (CoRR, 2022)

Markovian Decentralized Ensemble Control for Demand Response. - Guanze Peng; Robert Mieth; Deepjyoti Deka; Yury Dvorkin (IEEE Control. Syst. Lett., 2022)

Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations. - Samrat Acharya; Robert Mieth; Charalambos Konstantinou; Ramesh Karri; Yury Dvorkin (IEEE Trans. Smart Grid, 2022)

A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. - Robert Ferrando; Laurent Pagnier; Robert Mieth; Zhirui Liang; Yury Dvorkin; Daniel Bienstock; Michael Chertkov (CoRR, 2023)

Managing Risk using Rolling Forecasts in Energy-Limited and Stochastic Energy Systems. - Thomas Mortimer; Robert Mieth (CoRR, 2024)

Value-Oriented Forecast Combinations for Unit Commitment. - Mehrnoush Ghazanfariharandi; Robert Mieth (IEEE Control. Syst. Lett., 2025)

Data Valuation From Data-Driven Optimization. - Robert Mieth; Juan M. Morales 001; H. Vincent Poor (IEEE Trans. Control. Netw. Syst., 2025)

Analysis of Data Value in Stochastic Optimal Power Flow for Distribution Systems. - Mehrnoush Ghazanfariharandi; Robert Mieth (IEEE Trans. Smart Grid, 2025)