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Comparative study of imputation algorithms applied to the prediction of student performance
(Oxford University Press, 2019-12-27)
[Abstract]: Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several f laws for various ...
Intelligent Model for Power Cells State of Charge Forecasting in EV
(MDPI, 2022-07-19)
[Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior ...
Fuel cell hybrid model for predicting hydrogen inflow through energy demand
(MDPI, 2019-11-10)
[Abstract]: Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model ...
Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system
(MDPI, 2019-11-07)
[Abstract]: The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional ...
A distributed topology for identifying anomalies in an industrial environment
(Springer, 2022)
[Abstract] The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following ...
Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach
(Oxford University Press, 2024-05-09)
[Abstract] Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a ...
Metodología de reducción del tiempo de ajuste de controladores PID autoajustables basado en hiperesferas
(Universidad de León, 2022-06)
[Resumen] Hoy en día, los controladores adaptativos son ampliamente utilizados en el control de una gran variedad de procesos industriales.
En ese tipo de controladores destacan los reguladores PIDs autoajustables, por ...
Solar thermal collector output temperature prediction by hybrid intelligent model for smartgrid and smartbuildings applications and optimization
(MDPI, 2020-07-05)
[Abstract] Currently, there is great interest in reducing the consumption of fossil fuels (and other non-renewable energy sources) in order to preserve the environment; smart buildings are commonly proposed for this purpose ...
Sistema híbrido inteligente para el control y operación de un convertidor elevador en modo Soft-Switching
(Universitat Politècnica de València, 2022)
[Resumen] En este trabajo de investigación se presenta una estrategia de control inteligente implementada en un convertidor elevador con topología de medio puente. El sistema se usa para asegurar que el convertidor funcione ...
Hybrid intelligent system for a synchronous rectifier converter control and soft switching ensurement
(Elsevier, 2022-11)
[Abastract]: This research implements an intelligent control strategy in a synchronous rectifier buck converter to assure that the converter operates in soft-switching mode. The converter is analysed and the two different ...
