Research on 5G base station electricity prediction based on random forest algorithm
In order to consider the electricity demand brought by the large-scale construction of 5G base stations in power grid planning,a random forest prediction method and electricity consumption prediction process are proposed for the long-term load forecasting problem of this load.The random forest model has been improved through hyperparameter correction.Taking into account the impact of technological progress on energy consumption and the saturation trend of future development,a 5G base station electricity consumption prediction process was proposed,achieving short-term electricity consumption prediction for 5G base stations and providing prediction results,providing a basis for considering information infrastructure electricity demand in power grid planning.
5G base stationrandom forestenergy utilization planning