Data Compression and Reconstruction for EV Charging Stations Based on Principal Component Analysis

被引：0

作者：

Zhang, Qiang ^{[1
]}

Liu, Liping ^{[1
]}

Liu, Chao ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China

来源：

MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷

关键词：

Data Compression; Principal Component Analysis; Electric Vehicles; Smart Grid;

D O I：

10.4028/www.scientific.net/AMM.556-562.4317

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

As a zero-emission mode of transportation, an increasing number of Electric Vehicles (EV) have come into use in our daily lives. The EV charging station is an important component of the Smart Grid which is now facing the challenges of big data. This paper presents a data compression and reconstruction method based on the technique of Principal Component Analysis (PCA). The data reconstruction error Normalized Absolute Percent Error (NAPE) is taken into consideration to balance the compression ratio and data reconstruction quality. By using the simulated data, the effectiveness of data compression and reconstruction for EV charging stations are verified.

引用

页码：4317 / 4320

页数：4

共 50 条

[31] A Hybrid Method for NMR Data Compression Based on Window Averaging (WA) and Principal Component Analysis (PCA)
Jiangfeng Guo
Ranhong Xie
Huanhuan Liu
Applied Magnetic Resonance, 2019, 50 : 73 - 101
[32] An Online Pricing Strategy of EV Charging and Data Caching in Highway Service Stations
Su, Zhou
Lin, Tianxin
Xu, Qichao
Chen, Nan
Yu, Shui
Guo, Song
2020 16TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING (MSN 2020), 2020, : 81 - 85
[33] Coordinated Control of EV Charging Stations in Smart Transformer based Microgrid
Gaurav, Sahil
Kumar, Chandan
2022 22ND NATIONAL POWER SYSTEMS CONFERENCE, NPSC, 2022,
[34] Data compression through principal component analysis over wireless sensor networks
Chen, F. (cfx6810@163.com), 1809, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (09):
[35] IoT-Based Intelligent Energy Management for EV Charging Stations
Dasi, Swathi
Bondalapati, Swarupa Rani
Subbaraju, Mummidi P.
Nimma, Divya
Jangir, Pradeep
Reddy, R. Vijaya Kumar
Zareena, N.
IAENG International Journal of Computer Science, 2024, 51 (11) : 1853 - 1861
[36] Load Modeling Method for EV Charging Stations Based on Trip Chain
Gong, Lili
Cao, Wu
Zhao, Jianfeng
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
[37] IMPROVED PRINCIPAL COMPONENT ANALYSIS BASED HYPERSPECTRAL IMAGE COMPRESSION METHOD
Liu, Baisen
Zhang, Ye
Zhang, Wulin
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 1478 - 1480
[38] EV charging behaviour analysis and modelling based on mobile crowdsensing data
Yang, Tianyu
Xu, Xiangxiang
Guo, Qinglai
Zhang, Lin
Sun, Hongbin
IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (07) : 1683 - 1691
[39] Principal component analysis for compression of hyperspectral images
Lim, S
Sohn, KH
Lee, C
IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 97 - 99
[40] Image compression by nonlinear principal component analysis
Yoshioka, M
Omatu, S
ETFA '96 - 1996 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, VOLS 1 AND 2, 1996, : 704 - 706

← 1 2 3 4 5 →