RAUL BAÑOS
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Full Professor (Catedrático de Universidad)
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About
Raul Baños is a Full Professor at the University of Almería, Spain. His research areas include energy monitoring, power quality analysis, and the application of geometric algebra in electrical systems. He has published numerous articles on topics such as smart meters, energy data disaggregation, and the impact of electric vehicles on electricity networks.
Recent Grants
Grant: Close
Real-time integration of electricity consumption in machine learning systems using smart meters and high-precision power quality analyzers
Open Date: 2019-01-01
Close Date: 2022-12-01
Grant: Close
Optimization of facility location and business resource allocation using computational and geomarketing techniques
Open Date: 2014-10-01
Close Date: 2016-10-01
Grant: Close
High-performance multiobjective optimization and applications in neuroengineering and rehabilitation techniques
Open Date: 2013-01-01
Close Date: 2015-12-01
Grant: Close
High-performance computing in action: image processing, global optimization and multimedia
Open Date: 2009-01-01
Close Date: 2014-12-01
Grant: Close
Optimal design of electrical and water distribution networks using advanced computational techniques
Open Date: 2008-03-01
Close Date: 2011-02-01
Articles (11)
Microgrids are local energy production and distribution networks that can operate independently when disconnected from the main power grid thanks to the integration of power generation systems, energy storage units and intelligent control systems. However, despite their advantages, the optimal energy management of real microgrids remains a subject that requires further investigation. Specifically, an effective management of microgrids requires managing a large number of electrical variables related to the power generated by the microgrid’s power supplies, the power consumed by the loads and the aspects of power quality. This study analyzes how we can monitor different variables, such as the active power, reactive power, power factor, total harmonic distortion and frequency in the loads of a microgrid, using high-precision power meters. Our empirical study, conducted using a functional microgrid comprising a hybrid wind–solar power system and several household appliances, demonstrates the feasibility of using low-cost and high-performance power meters with IoT functionality to collect valuable power quality and energy consumption data that can be used to control the microgrid operation.
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2024
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2023
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2022
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2022
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2022
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2021
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2021
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2021
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2021
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2021
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2021
Collaborators (5)
Eduardo Viciana Gamez
Universidad de Almería
Francisco Gil Montoya
Full Professor
Universidad de Almería
Francisco M. Arrabal-Campos
Universidad de Almería
Gonzalo Wandosell y Fernández de Bobadil
Dean
Universidad Católica San Antonio de Murcia
Consolación Gil
Universidad de Almería
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