366 citations · 523 across the 12 of their papers we have counts for
13 papers
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19
Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict…
Quantum Computing for Finance: State of the Art and Future Prospects
Daniel J. Egger, Claudio Gambella, Jakub Marecek +6
This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to qua…
On model selection for scalable time series forecasting in transport networks
Julien Monteil, Anton Dekusar, Claudio Gambella +2
The transport literature is dense regarding short-term traffic predictions, up to the scale of 1 hour, yet less dense for long-term traffic predictions. The transport literature is…
Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions
Claudio Gambella, Jakub Marecek, Martin Mevissen
We study the projection onto the set of feasible inputs and the set of feasible solutions of a polynomial optimisation problem (POP). Our motivation is increasing the robustness of…
A Fine-Grained Variant of the Hierarchy of Lasserre
Wann-Jiun Ma, Jakub Marecek, Martin Mevissen
There has been much recent interest in hierarchies of progressively stronger convexifications of polynomial optimisation problems (POP). These often converge to the global optimum…
Transmission-Constrained Unit Commitment
Claudio Gambella, Jakub Marecek, Martin Mevissen +3
The unit commitment with transmission constraints in the alternating-current (AC) model is a challenging mixed-integer non-linear optimisation problem. We present an approach based…
A Hidden Markov Model for Route and Destination Prediction
Yassine Lassoued, Julien Monteil, Yingqi Gu +3
We present a simple model and algorithm for predicting driver destinations and routes, based on the input of the latest road links visited as part of an ongoing trip. The algorithm…
MINLP in Transmission Expansion Planning
Jakub Marecek, Martin Mevissen, Jonas Christoffer Villumsen
Transmission expansion planning requires forecasts of demand for electric power and a model of the underlying physics, i.e., power flows. We present three approaches to deriving ex…
Power Flow as an Algebraic System
Jakub Marecek, Timothy McCoy, Martin Mevissen
Steady states of alternating-current (AC) circuits have been studied in considerable detail. In 1982, Baillieul and Byrnes derived an upper bound on the number of steady states in…
Optimal Power Flow as a Polynomial Optimization Problem
Bissan Ghaddar, Jakub Marecek, Martin Mevissen
Formulating the alternating current optimal power flow (ACOPF) as a polynomial optimization problem makes it possible to solve large instances in practice and to guarantee asymptot…
Mean squared error minimization for inverse moment problems
Didier Henrion, Jean-Bernard Bernard Lasserre, Martin Mevissen
We consider the problem of approximating the unknown density of a measure on , absolutely continuous with respect to some given reference measure…
Moment and SDP relaxation techniques for smooth approximations of problems involving nonlinear differential equations
Martin Mevissen, Jean-Bernard Lasserre, Didier Henrion
Combining recent moment and sparse semidefinite programming (SDP) relaxation techniques, we propose an approach to find smooth approximations for solutions of problems involving no…
Solutions of Polynomial Systems Derived from the Steady Cavity Flow Problem
Martin Mevissen, Kosuke Yokoyama, Nobuki Takayama
We propose a general algorithm to enumerate all solutions of a zero-dimensional polynomial system with respect to a given cost function. The algorithm is developed and is used to s…