activity
20182026
most citedData-Driven Distributionally Robust Optimal Power Flow for Distribution Systems

83 citations · 254 across the 29 of their papers we have counts for

collaborators

33 papers

eess.SY2026

Strategic and Grid-Aware Maintenance Planning of Offshore Wind Farms

Robert Mieth, Ahmed Aziz Ezzat

Wind turbines require regular maintenance and the resulting costs are a substantial component of a wind farm's cost of electricity production. As a result, there has been ongoing i…

math.OC2026

Uncertainty-aware Power System Planning via Gradient Descent

Mehrnoush Ghazanfariharandi, Robert Mieth

Power system planning models provide important guidance on long-term investment strategies with significant socio-economic impact. To remain computationally manageable, however, su…

eess.SY2026

Integrated Investment and Policy Planning for Power Systems via Differentiable Scenario Generation

Robert Mieth

We formulate a method to co-optimize power system capacity planning decisions and policy investments that shape electricity load patterns. To this end, we leverage a gradient-based…

math.OC2025

Reliability-Aware Control of Distributed Energy Resources using Multi-Source Data Models

Gejia Zhang, Robert Mieth

Distributed energy resources offer a control-based option to improve distribution system reliability by ensuring system states that positively impact component failure rates. This…

math.OC2025

Value-Oriented Forecast Combinations for Unit Commitment

Mehrnoush Ghazanfariharandi, Robert Mieth

Value-oriented forecasts for two-stage power system operational problems have been demonstrated to reduce cost, but prove to be computationally challenging for large-scale systems…

math.OC2024

Towards Reliability-Aware Active Distribution System Operations: A Sequential Convex Programming Approach

Gejia Zhang, Robert Mieth

The increasing demand for electricity and the aging infrastructure of power distribution systems have raised significant concerns about future system reliability. Failures in distr…