Listar MA - Artículos por autor "Pineda-Morente, Salvador"
Mostrando ítems 1-7 de 7
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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 ... -
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 ... -
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 ...