基于人工神经网络方法的通信基站能耗标杆建立与分析

随着通信基站用电量的不断增加, 基站耗能的管控变得越来越重要, 基于对公共建筑建立能耗标杆的方法的研究, 进行方法引用从而建立通信基站能耗标杆. 引用人工神经网络方法来预测基站全年能耗, 预测精度达到最大相对误差为7.55%的水平, 同时, 根据人工神经网络的重要性分析得到影响基站能耗的最重要因素分别为主设备功率、 空调能效比和气温, 从而给出节能应从这三方面抓起的管理建议.

Establishment and Analysis of Energy Consumption Benchmark for Communication Base Station Based on Artificial Neural Network

With the increasing demand of power in communication base stations, energy consumption manage-ment becomes more important.Based on the method used in establishing benchmark in public building field, en-ergy 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 er-ror.The most important factors that affecting energy consumption are the power of main devices, power usage ef-fectiveness and temperature, based on which, suggestions on energy management are given.