scholarly journals Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 174612-174628 ◽  
Author(s):  
Ying Ma ◽  
Chao Huang ◽  
Yu Sun ◽  
Guang Zhao ◽  
Yunjie Lei
2018 ◽  
Vol 12 (1) ◽  
pp. 86-97 ◽  
Author(s):  
Mahmoud Ghofrani ◽  
Andrew Steeble ◽  
Christopher Barrett ◽  
Iman Daneshnia

Objective:This paper provides a literature review on smart grids and big data. Smart grid refers to technologies used to modernize the energy delivery of traditional power grids, using intelligent devices and big data technologies.Methods:The modernization is performed by deploying equipment such as sensors, smart meters, and communication devices, and by invoking procedures such as real-time data processing and big data analysis. A large volume of data with high velocity and diverse variety are generated in a smart grid environment.Conclusion:This paper presents definitions and background of smart grid and big data. Current studies and research developments of big data application in smart grids are also introduced. Additionally, big data challenges in smart grid systems such as security and data quality are discussed.


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