• A discrete-time queueing system with three different strategies 

      Atencia, Iván; Padilla-Domínguez, Yolanda; Galán-García, José Luis; Aguilera-Venegas, Gabriel; Rodriguez-Cielos, Pedro; [et al.] (Elsevier, 2021-09)
      We consider a discrete-time Geo/G/1/inf system in which a customer that finishes its first essential service may opt to abandon the system, to receive a second optional service or to go at the head of the queue in order ...
    • Distributionally robust stochastic programs with side information based on trimmings 

      Esteban-Pérez, Adrián; Morales, Juan Miguel (Springer, 2021-11)
      We consider stochastic programs conditional on some covariate information, where the only knowledge of the possible relationship between the uncertain parameters and the covariates is reduced to a finite data sample of ...
    • Electricity Cost-Sharing in Energy Communities Under Dynamic Pricing and Uncertainty 

      Gržanić, Mirna; Morales, Juan M.; Pineda, Salvador; Capuder, Tomislav (IEEE, 2021-02-15)
      Most of the prosumers nowadays are constrained to trade only with the supplier under a flat tariff or dynamic time-of-use price signals. This paper models and discusses the cost-saving benefits of flexible prosumers as ...
    • Feature-driven improvement of renewable energy forecasting and trading 

      Muñoz, Miguel Ángel; Morales, Juan Miguel; Pineda, Salvador (2020-02-26)
      Inspired from recent insights into the common ground of machine learning, optimization and decision-making, this paper proposes an easy-to-implement, but effective procedure to enhance both the quality of renewable energy ...
    • Inverse optimization with kernel regression: Application to the power forecasting and bidding of a fleet of electric vehicles 

      Fernández-Blanco, Ricardo; Morales, Juan Miguel; Pineda, Salvador; Porras, Álvaro (Elsevier, 2021-10)
      This paper considers an aggregator of Electric Vehicles (EVs) who aims to learn the aggregate power of his/her fleet while also participating in the electricity market. The proposed approach is based on a data-driven inverse ...
    • Mean curvature of spacelike submanifolds in a Brinkmann spacetime 

      Cánovas, Verónica L.; Romero, Alfonso; Palomo-Ruiz, Francisco Jose (2021)
      Several geometric properties of complete spacelike submanifolds, with codimension at least two, in a Brinkmann spacetime are shown from natural assumptions involving the mean curvature vector field $\mcv$ of the spacelike ...
    • On the existence of right adjoints for surjective mappings between fuzzy structures0 

      Cabrera, Inma P.; Cordero-Ortega, Pablo; García-Pardo, Francisca; Ojeda-Aciego, Manuel; De Baets, Bernard (National Research University Higher School of Economics, Russia, 2016)
      En este trabajo los autores continúan su estudio de la caracterización de la existencia de adjunciones (conexiones de Galois isótonas) cuyo codominio no está dotado de estructura en principio. En este artículo se considera ...
    • Partition-based distributionally robust optimization via optimal transport with order cone constraints 

      Esteban-Pérez, Adrián; Morales, Juan Miguel (Springer, 2021)
      In this paper we wish to tackle stochastic programs affected by ambiguity about the probability law that governs their uncertain parameters. Using optimal transport theory, we construct an ambiguity set that exploits the ...
    • Using the Chu Construction for generalizing formal concept analysis 

      Antoni, Lubomir; Cabrera, Inma P.; Kracji, Stanislav; Kridlo, Odrej; Ojeda-Aciego, Manuel (2015-11-23)
      El objetivo de este artículo es mostrar la conexión entre generalizaciones de Análisis de Conceptos Formales y la construcción de Chu sobre la categoría ChuCors de contextos formales y correspondencias de Chu. Todas las ...