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Comparative 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:scopusCaptuRING: A do-it-yourself tool for wood sample digitization
ArticleAbstract: Standard procedures to obtain high-quality images of wood samples have become a bottleneck in the diPalabras claves:dendrochronology, DIY, Hardware, Open Source, sample digitization, software, wood cores, wood slicesAutores:Alonso-Gómez V., Ana I. García-Cervigón, Colón D., García-Hidalgo M., Garcia-Pedrero A., Hernández-Alonso H., López-Molina J., Olano Mendoza J., Rozas V., Sangüesa-Barreda G.Fuentes:scopus