Analysis Method for Abnormal Energy Consumption of Base Stations Based on Spatiotemporal Distribution
Absrtact:This paper presents an analysis method of abnormal energy consumption of base stations based on temporal and spatial characteristics.This method uses the energy consumption data of base station main equipment,combined with geographical space and time attributes,to mark the energy consumption data with abnormal labels.By using the support vector machine algorithm to train the identified data,the abnormal energy consumption identification model is constructed.The model inputs historical energy consumption data,outputs the energy consumption status of base stations,and counts the abnormal rates of different scenarios.Through this model,we can analyze whether the energy consumption data of the whole network exceeds the standard,thus improving the accuracy of energy consumption analysis and outputting abnormal base stations for maintenance personnel to deal with.At the same time,a revision mechanism is established to update the standards and adapt to the changes in the network.
temporal and spatial attributesbase station scenariosupport vector machineabnormal standard valuecoefficient of correction