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20212026
most citedA Machine Learning-Enhanced Benders Decomposition Approach to Solve the Transmission Expansion Planning Problem under Uncertainty

51 citations · 90 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GT2026

Coalition Formation with Limited Information Sharing for Local Energy Management

Luke Rickard, Paola Falugi, Eric C. Kerrigan

Distributed energy systems with prosumers require new methods for coordinating energy exchange among agents. Coalitional control provides a framework in which agents form groups to…

eess.SY2023★ 51 cited

A Machine Learning-Enhanced Benders Decomposition Approach to Solve the Transmission Expansion Planning Problem under Uncertainty

Stefan Borozan, Spyros Giannelos, Paola Falugi +2

The necessary decarbonization efforts in energy sectors entail the integration of flexibility assets, as well as increased levels of uncertainty for the planning and operation of p…

math.OC2023★ 9 cited

Automatic scenario generation for efficient solution of robust optimal control problems

Marta Zagorowska, Paola Falugi, Edward O'Dwyer +1

Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as large nonlinear optimization problems. The optimization proble…

math.OC2022★ 1 cited

Fast and accurate method for computing non-smooth solutions to constrained control problems

Lucian Nita, Eduardo M. G. Vila, Marta A. Zagorowska +4

Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the soluti…

math.OC2022

Automatic Scenario Generation for Robust Optimal Control Problems

Marta Zagorowska, Paola Falugi, Edward O'Dwyer +1

Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as nonlinear optimization problems. Increasing the number of scen…

eess.SY2021★ 29 cited

Data-driven predictive control with improved performance using segmented trajectories

Edward O'Dwyer, Eric C. Kerrigan, Paola Falugi +2

A class of data-driven control methods has recently emerged based on Willems' fundamental lemma. Such methods can ease the modelling burden in control design but can be sensitive t…