activity
20172020
most citedFrequency-driven market mechanisms for optimal dispatch in power networks

5 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

math.OC2020

Resource-Aware Discretization of Accelerated Optimization Flows

Miguel Vaquero, Pol Mestres, Jorge Cortés

This paper tackles the problem of discretizing accelerated optimization flows while retaining their convergence properties. Inspired by the success of resource-aware control in dev…

eess.SY2020

Parallel Learning of Koopman Eigenfunctions and Invariant Subspaces For Accurate Long-Term Prediction

Masih Haseli, Jorge Cortés

We present a parallel data-driven strategy to identify finite-dimensional functional spaces invariant under the Koopman operator associated to an unknown dynamical system. We build…

math.OC2019

Data-driven ambiguity sets with probabilistic guarantees for dynamic processes

Dimitris Boskos, Jorge Cortés, Sonia Martínez

Distributional ambiguity sets provide quantifiable ways to characterize the uncertainty about the true probability distribution of random variables of interest. This makes them a k…

math-ph2018

Approximation of the probability density function of the randomized heat equation with non-homogeneous boundary conditions

J. Calatayud, J. C. Cortés, M. Jornet

This paper deals with the randomized heat equation defined on a general bounded interval and with non-homogeneous boundary conditions. The solution is a stochastic proc…

math.OC20175 cited

Frequency-driven market mechanisms for optimal dispatch in power networks

Tjerk Stegink, Ashish Cherukuri, Claudio De Persis +2

This paper studies real-time bidding mechanisms for economic dispatch and frequency regulation in electrical power networks. We consider a market administered by an independent sys…