摘要
设计了一种基于ARIMA模型(自回归移动平均)的校园能耗监测与分析系统,该系统主要由数据采集、数据存储、预测分析以及数据展示等功能模块组成.研究结果表明,该系统不仅可提升校园能源管理的自动化和智能化水平,而且还可有效提高校园能耗的预测精确度,且优于其他的能耗管理系统;因此,该系统可为提高校园能源使用效率提供良好支持.
A campus energy consumption monitoring and analysis system based on ARIMA model(autoregressive moving average)has been designed,which mainly consists of functional modules such as data collection,data storage,predictive analysis,and data display.The research results indicate that the system not only improves the automation and intelligence level of campus energy management,but also effectively enhances the accuracy of campus energy consumption prediction,which is superior to other energy management systems.Therefore,this system can provide good support for improving campus energy efficiency.
作者
杨韵芳
杨克松
YANG Yunfang;YANG Kesong(College of Information and Electronic Engineering,Liming Vocational University,Quanzhou 362000,China)
出处
《延边大学学报(自然科学版)》
CAS
2024年第3期61-69,共9页
Journal of Yanbian University(Natural Science Edition)
基金
福建省教育科学“十三五”规划课题(FJJKCG19-202)
黎明职业大学科研团队项目(LMTD202003)。
关键词
ARIMA模型
校园能耗
能耗管理系统
能耗监测
ARIMA model
campus energy consumption
energy management system
energy consumption monitoring