Online Learning Approach for Predictive Real-Time Energy Trading in Cloud-RANs

Constantly changing electricity demand has made variability and uncertainty inherent characteristics of both electric generation and cellular communication systems. This paper develops an online learning algorithm as a prescheduling mechanism to manage the variability and uncertainty to maintain cos...

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Detalles Bibliográficos
Autores principales: Wan Ariffin, Wan Nur Suryani Firuz, Zhang, Xinruo, Nakhai, Mohammad Reza, Rahim, Hasliza A., Ahmad, R. Badlishah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036679/
https://www.ncbi.nlm.nih.gov/pubmed/33806215
http://dx.doi.org/10.3390/s21072308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036679/
https://www.ncbi.nlm.nih.gov/pubmed/33806215
http://dx.doi.org/10.3390/s21072308

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