摘要
当前信息数字化推动着城市向更智能化、科学化和智慧化的方向发展,使得城市产生了大量的能源数据资源,因此利用WCDMA/GPRS网络对居民用水、电、气三种能源使用状况进行收集和监测,通过机器学习技术对居民能耗进行分析,形成居民细化分类,从而对不同群体居民用能习惯、用能标准进行划分,指导电力、公共事业单位、商业企业针对不同区域特点的人口集中的个性化服务提升。
The current information digitization promotes the development of cities in the direction of smarter,more scientific and smarter,which makes cities generate a large amount of energy data resources.Therefore,the WCDMA/GPRS network is used to collect and monitor the use of water,electricity and gas,and the machine learning technology is used to analyze the water consumption of residents to form a detailed classification of residents,so as to divide the energy consumption habits and standards of different groups of residents,which can guide electric power,public institutions and commercial enterprises to improve the personalized service of population concentration according to the characteristics of different regions.
作者
刘钊
曹雪玮
孙雪
陈晓凯
张晖
LIU Zhao;CAO Xuewei;SUN Xue;CHEN Xiaokai;ZHANG Hui(Chengnan Power Supply Branch of State Grid Tianjin Electric Power Company,Tianjin 300201,China)
出处
《电工技术》
2021年第5期152-154,共3页
Electric Engineering
关键词
能源消纳
用能特征
机器学习
energy consumption
energy consumption characteristics
machine learning
