期刊文献+

基于聚类算法的通信基站能耗标杆建立与分析 被引量:6

Establishment and Analysis of Energy Consumption Benchmark for Telecommunication Base Station Based on Clustering Algorithm
下载PDF
导出
摘要 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。首先通过多元线性回归确立影响基站耗电量的重要影响因素;然后通过聚类算法将大量基站能耗数据分成8类,代表8种典型的基站能耗模式;最后通过分析能耗标杆得到通信基站的耗能特点及现行基站能耗管理的不足与建议。 With the increasing demand of power consumption in base station (BS), the management of energy consumption becomes more important. The research method of energy consumption benchmark for public buildings was refened to establish BS benchmark. First, multiple linear regression was used to determine factors influencing BS power consumption. Then, by means of clustering algorithm, large amounts of power consumption data were classified into eight clusters which stand for eight typical types of power consumption modes. Finally, by analyzing energy consumption benchmark, the characteristics of BS power consumption were summarized, as well as the deficiencies of enerey consumption management and corresponding recommendations were presented.
作者 杨天剑 张静
出处 《移动通信》 2015年第18期92-96,共5页 Mobile Communications
关键词 能耗标杆 聚类分析 通信基站 energy consumption benchmark clustering analysis telecommunication base station
  • 相关文献

参考文献13

  • 1工信部运行监测协渊局.2014年我国通信业经济运行状况分析[EB/OL].(2015-01-21)[2015-05-20].http://www.cnii.corn.cn/wlkb/rmydb/content/2015-01/21/content_1520113.htm. 被引量:1
  • 2张英杰,章兢,刘文强,姚珺.通信行业能耗现状分析与节能战略思考[J].电信科学,2011,27(10):103-109. 被引量:19
  • 3帅农村,郑辑杰,辛冰,葛轶敏.GSM移动通信基站能耗模型研究[J].移动通信,2011,35(2):87-90. 被引量:8
  • 4马国远,田昕,周峰.利用自然冷源为通讯基站降温的模拟分析[J].北京工业大学学报,2012,38(3):410-416. 被引量:7
  • 5C Yi, Z Yufeng, M Qinling. Study of ventilation cooling technology for telecommunication base stations: Control strategy and application strategy[J]. Energy and Buildings, 2012,50: 212-218. 被引量:1
  • 6G Xuefeng, M Ali. A new methodology for building energy performance benchmarking: an approach based on intelligent clustering algorithm[J]. Energy and Buildings, 2014,84:607-616. 被引量:1
  • 7H Sung-Min, P Greig, B Esfandiar. A comparative study of benchmarking approaches for non-domestic buildings: Part 1-top-down approach[J]. International Journal of Sustainable Built Environment, 2013,2(2): 119-130. 被引量:1
  • 8B Esfandiar, H Sung-Min, P Greig. A comparative study of benchmarking approaches for non-domestic buildings: Part 1-bottom-up approach[J]. International Journal of Sustainable Built Environment, 2014,3(2): 247-261. 被引量:1
  • 9H Mohammad, D Matthew, M Scan, et al. Cluster analysis of simulated energy use for LEED certified U.S. office buildings[J]. Energy and Buildings, 2014,85: 86-97. 被引量:1
  • 10P Siriwarin, C Supachart, R Pattana. Assessment of potential energy saving using cluster analysis: A case study of lighting systems in buildings[J]. Energy and Buildings, 2012,52: 145-152. 被引量:1

二级参考文献25

共引文献28

同被引文献31

引证文献6

二级引证文献21

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部