Mostrando 5 resultados de: 5
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Article(5)
Publisher
Applied Sciences (Switzerland)(2)
Dyna (Spain)(1)
Energy Science and Engineering(1)
Sustainability (Switzerland)(1)
Charge Management of Electric Vehicles from Undesired Dynamics in Solar Photovoltaic Generation
ArticleAbstract: Power generation from photovoltaic solar systems contributes to mitigate the problem of climate chanPalabras claves:electric vehicle batteries, Photovoltaic solar system, Power fluctuations, Ramp controlAutores:Duque-Pérez O., Hernandez-Callejo L., Ivania Aguirre, Ivania Carolina Aguirre Pardo, Juan Leonardo Espinoza, Luiz G. González, Miguel Dávila-Sacoto, Zorita-Lamadrid Á.L.Fuentes:googlescopusComparative analysis of faults from stall controlled wind turbines with asynchronous generators and pitch controlled wind turbines with synchronous generators
ArticleAbstract: A large number of wind turbines from different manufacturers have been installed worldwide. They havPalabras claves:Downtime, Failures type, Pitch control, Stall control, Synchronous and asynchronous generators, Wind turbineAutores:Bernal J., Bonilla L.M., Duque-Pérez O., Hernandez-Callejo L., Morinigo-Sotelo D., Yuri Merizalde, Zorita-Lamadrid Á.L.Fuentes:googlescopusComparative study of continuous hourly energy consumption forecasting strategies with small data sets to support demand management decisions in buildings
ArticleAbstract: Buildings are one of the largest consumers of electrical energy, making it important to develop diffPalabras claves:building energy consumption, forecasting, learning algorithms, multistep forecasting, Short-term forecastingAutores:Alonso-Gómez V., Duque-Pérez O., Hernandez-Callejo L., Jaramillo-Duque A., Luiz G. González, Mariano-Hernández D., Santos-García F., Solís M., Zorita-Lamadrid Á.L.Fuentes:scopusAnalysis of the Integration of Drift Detection Methods in Learning Algorithms for Electrical Consumption Forecasting in Smart Buildings
ArticleAbstract: Buildings are currently among the largest consumers of electrical energy with considerable increasesPalabras claves:drift detection, electrical consumption forecasting, energy forecasting, Machine learning, Smart BuildingsAutores:Alonso-Gómez V., Bello H.J., Duque-Pérez O., García F.S., Hernandez-Callejo L., Jaramillo-Duque A., Luiz G. González, Mariano-Hernández D., Ospino-Castro A., Solís M., Zorita-Lamadrid Á.L.Fuentes:scopusA data-driven forecasting strategy to pbkp_redict continuous hourly energy demand in smart buildings
ArticleAbstract: Smart buildings seek to have a balance between energy consumption and occupant com-fort. To make thiPalabras claves:Energy consumption, forecasting models, Multi-step forecasting, Short-term forecasting, smart buildingAutores:Duque-Pérez O., Hernandez-Callejo L., Luiz G. González, Mariano-Hernández D., Santos-García F., Solís M., Zorita-Lamadrid Á.L.Fuentes:scopus