Listar MA - Artículos por autor "Morales-González, Juan Miguel"
Mostrando ítems 1-10 de 10
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A high dimensional functional time series approach to evolution outlier detection for grouped smart meters
Elías Fernández, Antonio; Morales-González, Juan Miguel; Pineda-Morente, Salvador (Taylor and Francis, 2022-01-01)Smart metering infrastructures collect data almost continuously in the form of fine-grained long time series. These massive data series often have common daily patterns that are repeated between similar days or seasons and ... -
An exact dynamic programming approach to segmented isotonic regression
Bucarey, Víctor; Labbé, Martine; Morales-González, Juan Miguel; Pineda-Morente, 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 ... -
Cost-driven screening of network constraints for the unit commitment problem
Porras, Álvaro; Pineda-Morente, Salvador; Morales-González, Juan Miguel; Jiménez-Cordero, María 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 ... -
Distributionally Robust Optimal Power Flow with Contextual Information
Esteban-Pérez, Adrián; Morales-González, Juan Miguel (Elsevier B. V., 2022-10)In this paper, we develop a distributionally robust chance-constrained formulation of the Optimal Power Flow problem (OPF) whereby the system operator can leverage contextual information. For this purpose, we exploit an ... -
Distributionally robust stochastic programs with side information based on trimmings
Esteban-Pérez, Adrián; Morales-González, 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-González, Juan Miguel; 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 ... -
Feature-driven improvement of renewable energy forecasting and trading
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-González, 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 ... -
Partition-based distributionally robust optimization via optimal transport with order cone constraints
Esteban-Pérez, Adrián; Morales-González, 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 ... -
Prescribing net demand for two-stage electricity generation scheduling
Morales-González, Juan Miguel; Muñoz, Miguel Ángel; Pineda-Morente, Salvador (Elsevier, 2023)We consider a two-stage generation scheduling problem comprising a forward dispatch and a real-time re-dispatch. The former must be conducted facing an uncertain net demand that includes non-dispatchable electricity ...