Listar IE - Artículos por título
Mostrando ítems 1-20 de 30
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A bilevel framework for decision-making under uncertainty with contextual information
(Elsevier, 2021-11-22)In this paper, we propose a novel approach for data-driven decision-making under uncertainty in the presence of contextual information. Given a finite collection of observations of the uncertain parameters and potential ... -
A Conscious, Smart Site Model for a Solar-Water Energy System
(Computational Science and Its Applications – ICCSA 2022 Workshops, 2022-07)Este trabajo propone un modelo global de desalinización sostenible en el contexto hidrológico de cualquier río con embalse cercano al mar. Para ello, se instala una planta desaladora, situada en la costa, que transporta ... -
A Crypto Accelerator of Binary Edward Curves for Securing Low-Resource Embedded Devices.
(MDPI, 2023-07-26)This research presents a novel binary Edwards curve (BEC) accelerator designed specifically for resource-constrained embedded systems. The proposed accelerator incorporates the fixed window algorithm, a two-stage pipelined ... -
A Long-Life Predictive Guidance with Homogeneous Competence Promotion for University Teaching Design
(IOAP-MDPI, 2022-12-28)Even though planning the educational action to optimize student performance is a very complex task, teachers typically face this challenging issue with no external assistance. Previous experience is, in most cases, the ... -
A space-time model for analyzing contagious people based on geolocation data using inverse graphs
(AIMS Mathematics, 2023-02)Los dispositivos móviles nos proporcionan una importante fuente de datos que capturan los movimientos espaciales de los individuos y nos permiten derivar patrones generales de movilidad para una población a lo largo del ... -
An Experimental Study of Power Smoothing Methods to Reduce Renewable Sources Fluctuations Using Supercapacitors and Lithium-Ion Batteries
(IOAP-MDPI, 2022-11-09)The random nature of renewable sources causes power fluctuations affecting the stability in the utility grid. This problem has motivated the development of new power smoothing techniques using supercapacitors and batteries. ... -
Connection of Converters to a Low and Medium Power DC Network Using an Inductor Circuit
(IEEE Industrial Electronics Society, 2016-09)This paper describes an alternative to connect power converters to a direct-current network with an inductor circuit. The circuit allows the connection of converters through a coil and avoids short-circuit currents with ... -
Coordinated and decentralized trading of flexibility products in Inter-DSO Local Electricity Markets via ADMM
(Elsevier, 2023)Local Electricity Markets (LEMs) arise as new layers of current market designs, enabling local trading of flexibility products. In many cases, LEMs encompass several networks, involving different Distribution System Operators ... -
Decentralized EV charging and discharging scheduling algorithm based on Type-II fuzzy-logic controllers
(Elsevier, 2024)Electric vehicles suppose a new paradigm in mobility and a challenge for today electric grids because its number increases day by day. Therefore, it is of paramount importance to keep the electric grid stable to allow an ... -
Discontinuous PWM strategy with frequency modulation for vibration reduction in asynchronous machines
(MDPI Machines, 2023-07-03)En este trabajo se ha realizado un estudio teórico-práctico de las frecuencias de resonancia de un motor y se ha demostrado que, ajustando la variable de control (manteniendo el orden de modulación de frecuencia para todas ... -
Distributed Model Predictive Control for voltage coordination of large-scale wind power plants
(Elsevier, 2022-06-30)This paper presents a Distributed Model Predictive Control (DMPC)-based algorithm for distributed and coordinated voltage control of wind power plants. Under the proposed approach, voltage magnitude at the point of connection ... -
Fault-tolerant control of six-phase induction motor drives with variable current injection
(IEEE, 2016-12-14)Three-phase machines are the industry standard for electrical drives, but the inherent fault tolerance of multiphase machines makes them an attractive alternative in applications requiring high reliability. For this reason, ... -
Is learning for the unit commitment problem a low-hanging fruit?
(Elsevier, 2022-06)The blast wave of machine learning and artificial intelligence has also reached the power systems community, and amid the frenzy of methods and black-box tools that have been left in its wake, it is sometimes difficult ... -
Is learning for the unit commitment problem a low-hanging fruit?
(Elsevier, 2022-02-16)The blast wave of machine learning and artificial intelligence has also reached the power systems community, and amid the frenzy of methods and black-box tools that have been left in its wake, it is sometimes difficult to ... -
Learning the price response of active distribution networks for TSO-DSO coordination
(IEEE, 2021)The increase in distributed energy resources and flexible electricity consumers has turned TSO-DSO coordination strategies into a challenging problem. Existing decomposition/decentralized methods apply divide-and-conquer ... -
Learning-based state estimation in distribution systems with limited real-time measurements
(Elsevier, 2025-04)The task of state estimation in active distribution systems faces a major challenge due to the integration of different measurements with multiple reporting rates. As a result, distribution systems are essentially unobservable ... -
Learning‑assisted optimization for transmission switching
(Springer, 2024-04)The design of new strategies that exploit methods from machine learning to facilitate the resolution of challenging and large-scale mathematical optimization problems has recently become an avenue of prolific and promising ... -
Model predictive control of six-phase induction motor drives using virtual voltage vectors
(IEEE, 2017-06)The most serious and recent competitor to the standard field oriented control for induction motors (IM) is the finite control set model predictive control (FCS-MPC). Nevertheless, the extension to multiphase drives faces ... -
Nervous Necrosis Virus (NNV) Booster Vaccination Increases Senegalese Sole Survival and Enhances Immunoprotection
(IOAP-MDPI, 2022-12-23)Viral encephalopathy and retinopathy (VER), caused by nervous necrosis virus (NNV), is a serious threat to Senegalese sole farming. We have previously demonstrated that immunization with an inactivated vaccine confers ... -
Novel sustainable magnetic material to improve the wireless charging of a lightweight drone
(RSC (Royal Society of Chemistry), 2023-04-04)Unmanned aerial vehicles are clear candidates to benefit from wireless power transfer, as it can facilitate their charging process and even allow them to charge autonomously. One common approach when designing a wireless ...