Mostrando 3 resultados de: 3
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: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:scopusData-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System
ArticleAbstract: The current need for power-system control-room operational tools to increase real-time situational aPalabras claves:data analytics, phasor measurement systems, power system scadaAutores:Chavez H., Luiz G. González, Quiroz J., Segundo F.Fuentes:scopus