Study on the User-Side Risk of Smart Grid System in Big Data Age

With the coming of big data age, Internet, finance and other industries have launched in-depth studies on big data technology. They hope to grasp the opportunities that big data brings to enterprises. Smart gird construction generated massive and heterogeneous data in the process of electricity generation, electricity transmission and electricity consumption, thus electricity big data took shape. Based on the analysis of Big Data characteristics of Smart gird user-side, this paper describes the risks that big data reduces on smart gird user-side from the perspectives of demand forecasting, customer complaint and operation risk that grid peak valley load brings. Meanwhile, it also expounds the risks that big data brings to Smart gird user-side from the perspectives of technology and user information security. Hope to provide some relevant materials of the Smart gird user-side risk management for our country.

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The Smart Grid System Design Based on the Big Data Technology

Advances in Intelligent Systems and Computing - Big Data Analytics for Cyber-Physical System in Smart City ◽

10.1007/978-981-15-2568-1_257 ◽

2020 ◽

pp. 1838-1843

Author(s):

Hui Zhang ◽

Wentao Yan ◽

Wei Wang ◽

Qi Su ◽

Wei Zhou ◽

...

Keyword(s):

Big Data ◽

Smart Grid ◽

System Design ◽

Grid System ◽

Smart Grid System ◽

Big Data Technology

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Mediatisation as a Driver of Big Data Growth

The Public/Private in Modern Civilization: Collection of Academic Papers from the 22nd Russian Scientific-Practical Conference (with international participation) (Yekaterinburg, April 16-17, 2020) ◽

10.35853/ufh-public/private-2020-62 ◽

2020 ◽

Author(s):

Ekaterina Gribovod ◽

Keyword(s):

Big Data ◽

New Media ◽

Secondary Data ◽

Social Institutions ◽

Heterogeneous Data ◽

Technical Aspect ◽

Theoretical Concept ◽

Media Space ◽

The Media ◽

Big Data Technology

The possibilities and consequences of the application and penetration of information technology in different spheres of society are of particular interdisciplinary interest in today’s academic environment. The methodological basis of the study was a combination of informational, comparative, systematic and conceptual approaches. Besides that, the secondary data analysis method was employed. This article examines mediatisation as an important factor in accelerating the accumulation of big data in the digital age. With the emergence of new media and the digitalisation of modern media space, researchers have recorded a process of ‘deep mediatisation’. It is noted that, in domestic practice, the main emphasis in the study of the phenomenon of ‘Big Data’ is on its technical aspect, while socio-humanitarian characteristics and effects are revealed to a lesser extent. The article represents an attempt to consider ‘Big Data’ technology as a symbolic and authoritative resource of the information society. Mediatisation and big data are interrelated. On one hand, ‘Big Data’ technology allows for the identification and measurement of quantitative indicators of the mediatisation process (e.g. active social media audience, etc.) and facilitates the processing of the findings. Mediatisation, on the other hand, facilitates the accumulation of heterogeneous data and, as a theoretical concept, allows for the implications of big data technology to be identified and for social institutions to be adapted to it. In addition, mediatisation is changing the paradigm of the private and individual aspects in media space as a result of the growth in the volume, storage and reproduction of social information in the digital society, the lowering of the barrier of access to the media age, and the emergence of new actors of communication: micro-subjects (e.g. Influencers).

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