Machine learning for base transceiver stations power failure prediction: A multivariate approach

Machine learning for base transceiver stations power failure prediction: A multivariate approach

The widespread deployment of cellular networks has improved communication access, driving economic growth and enhancing social connections across diverse regions. Base Transceiver Stations (BTSs), are foundational to mobile networks but are vulnerable to power failures, disrupting service delivery a...

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Bibliographic Details
Main Authors:	Sofia Ahmed, Tsegamlak Terefe, Dereje Hailemariam
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	e-Prime: Advances in Electrical Engineering, Electronics and Energy
Subjects:	BTS Power failure Deep learning LSTM CNN Hybrid CNN-LSTM model
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772671124003942
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