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2019 | OriginalPaper | Chapter

Review of Power Spatio-Temporal Big Data Technologies, Applications, and Challenges

Authors : Ying Ma, Chao Huang, Yu Sun, Guang Zhao, Yunjie Lei

Published in: Security, Privacy, and Anonymity in Computation, Communication, and Storage

Publisher: Springer International Publishing

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Abstract

The spatio-temporal big data of the power grid has experienced explosive growth, especially the development of various power sensors, smart devices, communication devices, and real-time processing hardware, which has led to unprecedented opportunities and challenges in this field. This paper firstly introduces Power Spatio-Temporal Big Data (PSTBD) technologies based on the characteristics of grid spatio-temporal big data, followed by a comprehensive survey of relevant articles analysis in this field. Then we compare the difference between traditional power grid and PSTBD platform, and focus on the key technologies of current PSTBD and corresponding typical applications. Finally, the development direction and challenges of PSTBD are given. Through data analysis and technical discussion, we provided technical supports and decision supports for relevant practitioners in PSTBD field.

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Metadata
Title
Review of Power Spatio-Temporal Big Data Technologies, Applications, and Challenges
Authors
Ying Ma
Chao Huang
Yu Sun
Guang Zhao
Yunjie Lei
Copyright Year
2019
Book
Security, Privacy, and Anonymity in Computation, Communication, and Storage

Print ISBN: 978-3-030-24899-4

Electronic ISBN: 978-3-030-24900-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-24900-7_16

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