Scholarlink

Energy optimization in telecommunication base stations demands innovative approaches to address dynamic consumption patterns and environmental variability. This study proposes a novel framework integrating time series analysis, Bayesian networks, and Particle Swarm Optimization (PSO) to holistically optimize power management. Proposed concept takes in account individual requirements on single base station, as well as global portfolio of mobile base stations characteristics.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Energy Optimization Model Based on REFII Model, Bayesian Networks and PSO Algorithm

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Goran Klepac,
  • Zvonko Merkaš

摘要

Energy optimization in telecommunication base stations demands innovative approaches to address dynamic consumption patterns and environmental variability. This study proposes a novel framework integrating time series analysis, Bayesian networks, and Particle Swarm Optimization (PSO) to holistically optimize power management. Proposed concept takes in account individual requirements on single base station, as well as global portfolio of mobile base stations characteristics.