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Analysis 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:scopusDiagnosis of broken bars in wind turbine squirrel cage induction generator: Approach based on current signal and generative adversarial networks
ArticleAbstract: To ensure the profitability of the wind industry, one of the most important objectives is to minimizPalabras claves:Artificial Intelligence, Faults diagnostic, synthetic data, Unbalanced datasets, Wind turbineAutores:Alonso-Gómez V., Duque-Pérez O., Hernandez-Callejo L., Yuri Merizalde ZamoraFuentes:scopusMethod 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 Javier Benavides Padilla, Francisco J. Jurado, Hernandez-Callejo L., Luiz G. González, Páúl Arévalo-CorderoFuentes:scopus