Power internet of things: data science perspective and business models

被引：0

作者：

Chen H. ^{[1
]}

Li Z. ^{[1
]}

Chen J. ^{[1
]}

Cai W. ^{[1
]}

Duan S. ^{[1
]}

机构：

[1] School of Electric Power, South China University of Technology, Guangzhou

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 22期

基金：

中国国家自然科学基金;

关键词：

Business model; Electricity consumption data; Power internet of things; Socioeconomic information;

D O I：

10.19783/j.cnki.pspc.202085

中图分类号：

学科分类号：

摘要：

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. © 2020, Power System Protection and Control Press. All right reserved.

引用

页码：33 / 40

页数：7

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