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Method of monitoring and detection of failures in PV system based on machine learning
ArticleAbstract: Machine learning methods have been used to solve complicated practical problems in different areas aPalabras claves:Artificial Intelligence, fuentes de energía renovable, Inteligencia Artificial, Monitoring, renewable energy sources, SupervisionAutores:Aguado J.A., Dario Benavides, Francisco J. Jurado, Hernandez-Callejo L., Luiz G. González, Páúl Arévalo-CorderoFuentes:googleorcidscopusHybrid LSTM–FACTS Control Strategy for Voltage and Frequency Stability in EV-Penetrated Microgrids
ArticleAbstract: This paper proposes a real-time energy management strategy for low-voltage microgrids that combinesPalabras claves:Electric vehicle charging, FACTS devices, microgrid energy managementAutores:Andrés Martínez, Augusto Rodas, Danny Ochoa-Correa, Dario Benavides, Diego Zarie, Esteban Albornoz, Félix González, Páúl Arévalo-CorderoFuentes:googleorcidscopusPredictive Energy Storage Management with Redox Flow Batteries in Demand-Driven Microgrids
ArticleAbstract: Accurate demand forecasting contributes to improved energy efficiency and the development of short-tPalabras claves:Demand Forecast, demand-driven, Energy storage, microgrid, predictive model, redox flow batteriesAutores:Alberto Ríos-Villacorta, Danny Ochoa-Correa, Dario Benavides, David Torres, Páúl Arévalo-CorderoFuentes:googleorcidscopusSmart meter-based demand forecasting for energy management using supercapacitors
ArticleAbstract: The smart grid paradigm has introduced new capabilities for monitoring and managing intelligent enerPalabras claves:Demand Forecasting, energy management, Power smoothing, real-time, smart meter, SupercapacitorsAutores:Alberto Ríos-Villacorta, Danny Ochoa-Correa, Dario Benavides, David Torres, Julio Espinosa Domínguez, Páúl Arévalo-CorderoFuentes:scopus