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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |