摘要
国内能源效率分析及评价工作非常重要,目前相关研究都集中在相关政策和基础算法等方面,缺乏针对能源效率综合分析及评价系统的构建方法相关研究,尤其是针对下一代互联网技术的应用探究。本文首先介绍了基于IPV6的服务端局域通讯网络架构设计策略,构建了基于IPV6网络协议的能源效率大数据综合管控平台,平台不仅可以实现了国内各类能源效率大数据的收集,而且还可以利用特征识别方法确定能源效率影响因素。然后,基于典型数据挖掘和人工智能算法集,可以方便建立分类预测和聚类分析的应用模型;平台既可对各省份能源效率高低进行分类预测,又可将能源效率高的省份与效率低的省份区分开来,实现了对全国整体能源效率的综合分析与评价。这对我国能源互联网发展建设、利用大数据技术提升能源综合利用效率具有一定的借鉴意义。
Domestic energy efficiency analysis and evaluation work is very important. At present, relevant research focuses on related policies and basic algorithms. And there is a lack of related research on comprehensive energy efficiency analysis and evaluation system construction methods, especially application exploration research about next internet technology. Firstly, this paper introduces the design strategy of ipv6-based local area communication network architecture, and constructs the comprehensive management and control platform of energy efficiency big data based on ipv6-based network protocol. The platform can not only realize the collection of all kinds of energy efficiency big data in China, but also determine the influence factors of energy efficiency by the feature recognition method. Then, based on typical data mining and artificial intelligence algorithm set, the application model of classification prediction and cluster analysis can be established conveniently. The platform not only can classify and predict the energy efficiency of each province, but also can distinguish the provinces with high energy efficiency from those with low efficiency, realizing the comprehensive analysis and evaluation of the overall energy efficiency of the country. This is of certain reference significance to the development and construction of China's energy internet and the improvement of energy comprehensive utilization efficiency by big data technology.
作者
万杰
李滨
姚坤
张晓洁
孟凡生
于继来
WAN Jie;LI Bin;YAO Kun;ZHANG Xiao-jie;MENG Fan-sheng;YU Ji-lai(Postdoctoral Research Station of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China;Department of Electrical and Electronic Engineering, Hong Kong 999077, China;School of Economics and Management Harbin Engineering University,Harbin 150001, China;Nangjing Qiuya Power Horizon Information Technology Company Limited, Nanjing 210012, China)
出处
《节能技术》
CAS
2019年第2期189-192,F0003,共5页
Energy Conservation Technology
基金
黑龙江省博士后基金项目(No.LBH-Z17067)
赛尔网络下一代互联网技术创新项目(No.NGII20150802)
国家重点研发计划项目(No.2016YFB0901903)
关键词
能源效率
IPV6通讯
综合平台
分类预测
聚类分析
energy efficiency
IPV6 communication
integrated platform
classification prediction
cluster analysis