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Agustín Agüera-Pérez
Researcher at University of Cádiz
Publications - 42
Citations - 445
Agustín Agüera-Pérez is an academic researcher from University of Cádiz. The author has contributed to research in topics: Higher-order statistics & Kurtosis. The author has an hindex of 10, co-authored 42 publications receiving 350 citations.
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Journal ArticleDOI
Weather forecasts for microgrid energy management: Review, discussion and recommendations
Agustín Agüera-Pérez,José Carlos Palomares-Salas,Juan José González de la Rosa,Olivia Florencias-Oliveros +3 more
TL;DR: A general overview of the use of meteorological data in microgrids is provided, focusing on the implementation of weather forecasts in microgrid energy management systems.
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A novel virtual instrument for power quality surveillance based in higher-order statistics and case-based reasoning
Juan José González de la Rosa,Agustín Agüera-Pérez,José Carlos Palomares-Salas,José María Sierra-Fernández,Antonio Moreno-Munoz +4 more
TL;DR: A Virtual Instrument based in Case-Based Reasoning (CBR), conceived to online monitor the power-quality, shows acceptable accuracy and presents an user-friendly interface and a large data storage capacity, since it uses the hard disk.
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Characterization of electrical sags and swells using higher-order statistical estimators
Agustín Agüera-Pérez,José Carlos Palomares-Salas,Juan José González de la Rosa,José María Sierra-Fernández,Daniel Ayora-Sedeño,Antonio Moreno-Munoz +5 more
TL;DR: In this article, three statistical estimators have been used (variance, skewness and kurtosis) to enhance characterization of power quality anomalies, in particular sags and swells.
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A novel neural network method for wind speed forecasting using exogenous measurements from agriculture stations
José Carlos Palomares-Salas,Agustín Agüera-Pérez,Juan José González de la Rosa,Antonio Moreno-Munoz +3 more
TL;DR: A novel ANN-based wind speed forecasting method based in the introduction of low-quality measurements as exogenous information, processed by six prediction models to perform one-hour-ahead enhanced forecasting is proposed.
Journal ArticleDOI
An application of the spectral kurtosis to characterize power quality events
Juan José González de la Rosa,José María Sierra-Fernández,Agustín Agüera-Pérez,José Carlos Palomares-Salas,Antonio Moreno-Munoz +4 more
TL;DR: In this article, a novel application of the Spectral Kurtosis (SK) in power-quality modeling and analysis is presented, where three-spectral analysis is used to detect nonlinearities, as impulsive-like signals.