Abstract:

 With the increasing demand of power in communication base stations, energy consumption management becomes more important Based on the method used in establishing benchmark in public building field, energy consumption benchmark of communication base station is built Artificial neural network method is used to predict annual power consumption of base stations, and has better prediction accuracy with 755% of relative error The most important factors that affecting energy consumption are the power of main devices, power usage effectiveness and temperature, based on which, suggestions on energy management are given

Key words: energy consumption benchmark, artificial neural network, communication base station