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- W4238953089 abstract "This paper develops an integrated traffic-power control algorithm based on a previously proposed cellular networks study. A real-time battery bank state of charge (SOC) estimation technique is introduced using predicted renewable energy. The proposed approach allows the cellular networks system to be more resilient by increasing power supply availability and reducing the excessive discharges which cause the battery bank life reduction. With the aim of mostly powering a base station (BS) from photovoltaic (PV) systems, the newly proposed control algorithm is compared with the previous study based on SOC cumulative distribution function (CDF)." @default.
- W4238953089 created "2022-05-12" @default.
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- W4238953089 date "2015-10-01" @default.
- W4238953089 modified "2023-10-02" @default.
- W4238953089 title "Microgrids for base stations: Renewable energy prediction and battery bank management for effective state of charge control" @default.
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- W4238953089 doi "https://doi.org/10.1109/intlec.2015.7572444" @default.
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