Search Results for author: Sean Lovett

Found 2 papers, 0 papers with code

CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

no code implementations26 Mar 2024 Luis Piloto, Sofia Liguori, Sephora Madjiheurem, Miha Zgubic, Sean Lovett, Hamish Tomlinson, Sophie Elster, Chris Apps, Sims Witherspoon

Optimal Power Flow (OPF) refers to a wide range of related optimization problems with the goal of operating power systems efficiently and securely.

A General Stochastic Optimization Framework for Convergence Bidding

no code implementations12 Oct 2022 Letif Mones, Sean Lovett

Convergence (virtual) bidding is an important part of two-settlement electric power markets as it can effectively reduce discrepancies between the day-ahead and real-time markets.

Scheduling Stochastic Optimization

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