• Using the Chu Construction for generalizing formal concept analysis 

      Antoni, Lubomir; Cabrera, Inma P.; Kracji, Stanislav; Krídlo, Ondrej; 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 ...
    • 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 ...
    • Feature-driven improvement of renewable energy forecasting and trading 

      Muñoz, Miguel Ángel; Morales, Juan Miguel; Pineda Morente, 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 ...
    • 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 ...
    • 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 ...
    • An exact dynamic programming approach to segmented isotonic regression 

      Bucarey, Víctor; Labbé, Martine; Morales, Juan Miguel; Pineda, Salvador (Elsevier, 2021)
      This paper proposes a polynomial-time algorithm to construct the monotone stepwise curve that minimizes the sum of squared errors with respect to a given cloud of data points. The fitted curve is also constrained on the ...
    • Electricity Cost-Sharing in Energy Communities Under Dynamic Pricing and Uncertainty 

      Gržanić, Mirna; Morales, Juan M.; Pineda Morente, 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 ...
    • Chains in evolution algebras 

      Cabrera Casado, Yolanda; Cardoso Gonçalves, Maria Inez; Gonçalves, Daniel; Martin-Barquero, Dolores; Martin-Gonzalez, Candido (ELSEVIER, 2021-08-01)
      In this work we approach three-dimensional evolution algebras from certain constructions performed on two-dimensional algebras. More precisely, we provide four different constructions producing three-dimensional evolution ...
    • A discrete-time queueing system with three different strategies 

      Atencia-McKillop, Ivan; 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 ...
    • 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 Morente, 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 ...
    • 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 ...
    • Cost-driven screening of network constraints for the unit commitment problem 

      Porras, Álvaro; Pineda, Salvador; Morales, Juan Miguel; Jiménez-Cordero, Asunción (The Institute of Electrical and Electronics Engineers (IEEE), 2022-03-16)
      In an attempt to speed up the solution of the unit commitment (UC) problem, both machine-learning and optimization-based methods have been proposed to lighten the full UC formulation by removing as many superfluous line-flow ...
    • Quasi-closed elements in fuzzy posets 

      Ojeda Hernández, Manuel; Cabrera, Inma P.; Cordero, Pablo (ELSEVIER, 2022-04)
      We generalize the notion of quasi-closed element to fuzzy posets in two stages: First, in the crisp style in which each element in a given universe either is quasi-closed or not. Second, in the graded style by defining ...
    • On projection methods for functional time series forecasting 

      Elías, Antonio; Jiménez, Raúl; Han Lin, Shang (ScienceDirect, 2022-05)
      Two nonparametric methods are presented for forecasting functional time series (FTS). The FTS we observe is a curve at a discrete-time point. We address both one-step-ahead forecasting and dynamic updating. Dynamic updating ...