基于智能电表的量测数据实时状态监测估计  

Real Time State Monitoring and Estimation of Measurement Data Based on Smart Meters

作　　者：廖然 Liao Ran(State Grid Sichuan Electric Power Company Tianfu New Area Power Supply Company,Chengdu,Sichuan 610000,CHN)

机构地区：[1]国网四川省电力公司天府新区供电公司,四川成都610000

出　　处：《模具制造》2023年第8期234-236,共3页Die & Mould Manufacture

摘　　要：近年来,由于人口增长、电气和电子设备的使用以及经济发展和气候的急剧变化,全球对能源的需求不断增加。人们提出新的能源消费预测方法,这有助于优化能源使用和从供电侧更均衡的分配电能。其中,智能感知技术从多个来源收集数据,如房间的温度、湿度、风速、热负荷、冷负荷和所有家用电器的能耗,这种多变量数据为电网利用其进行能源消耗预测和有效管理提供了一个有效的分析平台。In recent years,due to population growth,the use of electrical and electronic equip⁃ment,economic development,and rapid climate changes,the global demand for energy has been continuously increasing.People have proposed new methods for predicting energy con⁃sumption,which can help optimize energy use and distribute electricity more evenly from the power supply side.Intelligent perception technology collects data from multiple sources,such as room temperature,humidity,wind speed,heat load,cooling load,and energy consumption of all household appliances.This multivariate data provides an analysis platform for the power grid to use it for energy consumption prediction and effective management.

关 键 词：人工智能 大数据 智能电表 数据挖掘 

分 类 号：TM930[电气工程—电力电子与电力传动]