电力物联网:数据科学视角及商业模式  

Power internet of things:data science perspective and business models

作　　者：陈皓勇[1] 李志豪 陈锦彬 蔡伟钧 段声志 CHEN Haoyong;LI Zhihao;CHEN Jinbin;CAI Weijun;DUAN Shengzhi(School of Electric Power,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]华南理工大学电力学院,广东广州510641

出　　处：《电力系统保护与控制》2020年第22期33-40,共8页Power System Protection and Control

基　　金：国家自然科学基金重点项目资助(51937005)。

摘　　要：当前电力(能源)系统正在向数字化转型,电力物联网的建设进入新阶段。大量感知设备和智能终端接入电力物联网,在电力系统内部和外部产生并积累了大量的数据。特别是电力系统的用电数据蕴藏巨大的价值,内含丰富的社会经济信息。针对用电数据,电力物联网有着多种可能的商业模式。介绍了电力物联网的3重涵义,结合电力物联网中不同类型用电数据的来源阐述其背后的信息,探讨信息/数据融合的理论与技术,并指出数据驱动下电力物联网商业模式的关键问题和具体业务,最后分析了电力物联网数据服务所面临的挑战。Currently power(energy)systems are undergoing digitalization,and the development of the power internet of things has entered a new stage.A large number of sensing devices and smart terminals are connected to the power internet of things,and a large amount of data are generated and accumulated inside and outside the power systems.The electricity consumption data have great value and reflect social and economic information.For electricity consumption data,the power internet of things has a variety of business models.This paper introduces the triple meanings of the power internet of things,explains the socioeconomic information embedded in various power consumption data according to their sources,discusses the theories and techniques of information/data fusion,points out the key problems and specific business models of data-driven services,and finally analyzes the challenges faced by data services of the power internet of things.

关 键 词：电力物联网 用电数据 社会经济信息 商业模式 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术] TM73[电子电信—通信与信息系统]