Analysis of the Integration of Drift Detection Methods in Learning Algorithms for Electrical Consumption Forecasting in Smart Buildings

Article

Abstract: Buildings are currently among the largest consumers of electrical energy with considerable increases

Palabras claves:

drift detection, electrical consumption forecasting, energy forecasting, Machine learning, Smart Buildings

Autores:

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:

scopus