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A Novel Traffic Prediction Method Using Machine Learning for Energy Efficiency in Service Provider Networks.
Rau, Francisco; Soto, Ismael; Zabala-Blanco, David; Azurdia-Meza, Cesar; Ijaz, Muhammad; Ekpo, Sunday; Gutierrez, Sebastian.
Affiliation
  • Rau F; CIMTT, Department of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile.
  • Soto I; CIMTT, Department of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile.
  • Zabala-Blanco D; Department of Computer Science and Industry, Universidad Católica del Maule, Talca 3480112, Chile.
  • Azurdia-Meza C; Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile.
  • Ijaz M; Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK.
  • Ekpo S; Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK.
  • Gutierrez S; Faculty of Engineering, Universidad Autónoma de Chile, Santiago 7500912, Chile.
Sensors (Basel) ; 23(11)2023 May 23.
Article in En | MEDLINE | ID: mdl-37299722
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Conservation of Energy Resources Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Chile Country of publication: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Conservation of Energy Resources Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Chile Country of publication: Switzerland