Paper Info
Title
Big Data Compression in Smart Grids via Optimal Singular Value Decomposition
Abstract
The smart grid is a fully automatic delivery grid for electricity power with a two-way reliable flow of electricity and information among different equipment on the grid. With the rapid development of smart grids, smart meters and sensors are used to monitor the system and provide a wide reporting which produce a huge amount of data in various part of the grid. To logical manage this trouble, the presented paper proposes a new lossy data compression approach for big data compression. In the proposed method, at the first step, the optimal singular value decomposition (OSVD) is applied to a matrix that achieves the optimal number of singular values to the sending process and the other ones will be neglected. This goal is done due to the quality of retrieved data and the rate of compression ratio. In the presented scheme, to implementation of the optimization framework, various intelligent optimization methods are used to determine the number of optimal values in the elimination stage. The efficiency and capabilities of the proposed method are examined using the experimental dataset of several residential microgrid consumers and market dataset. Simulation results show the high performance and efficiency of the proposed model in smart grids with big data.
Year
DOI
Venue
2020
10.1109/IAS44978.2020.9334900
2020 IEEE Industry Applications Society Annual Meeting
Keywords
DocType
ISSN
Big data,Data compression,Smart Grid,Optimization,Singular value decomposition
Conference
0197-2618
ISBN
Citations 
PageRank 
978-1-7281-7193-7
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Seyed Naser Hashemipour100.34
Jamshid Aghaei25419.74
Abdullah Kavousi-Fard300.34
Taher Niknam400.34
Ladan Salimi500.34
Pedro Crespo Del Granado600.34
Miadreza Shafie-khah702.37
Fei Wang854.91
João P. S. Catalão901.69