With the rapid development of 5G base station construction, significant energy storage is installed to ensure stable communication. However, these storage re...
According to the energy consumption characteristics of the base station, a 5G base station energy consumption prediction model based on the LSTM network is constructed to provide data support for the subsequent BSES aggregation and collaborative scheduling.
This will enable the efficient utilization of idle resources at 5G base stations in the collaborative interaction of the power system, fostering mutual benefit and win-win between the power grid and the communication operators.
The research on 5G base station load forecasting technology can provide base station operators with a reasonable arrangement of energy supply guidance, and realize the energy saving and emission reduction of 5G base stations.
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College of Electrical and Information Engineering, Hunan University, Changsha, China With the rapid development of 5G base station construction, significant energy storage …
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With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent …
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The growing penetration of 5G base stations (5G BSs) is posing a severe challenge to efficient and sustainable operation of power distribution systems (PDS) due to their huge …
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Therefore, aiming to optimize the energy utilization efficiency of 5G base stations, a novel distributed photovoltaic 5G base station DC microgrid structure and an energy …
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The rapid development of 5G has greatly increased the total energy storage capacity of base stations. How to fully utilize the often dormant base station energy storage …
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Therefore, aiming to optimize the energy utilization efficiency of 5G base stations, a novel distributed photovoltaic 5G base station DC microgrid structure and an energy …
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