Lossless Compression of Synchro-Waveform Measurements for Smart Grid Monitoring-Reference-Cited by-同舟云学术

Lossless Compression of Synchro-Waveform Measurements for Smart Grid Monitoring

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East)
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Author:

Qiu Wei¹,Yin He¹,Wu Yuru¹,Chen Chang¹,Zeng Chujie¹,Zhan Lingwei²,Liu Yilu¹

Affiliation:

1. The University of Tennessee,Department of Electrical Engineering & Computer Science,Knoxville,TN,USA

2. Oak Ridge National Laboratory, ORNL,TN,USA

Funder

U.S. Department of Energy

Solar Energy Technologies Office

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10078411/10078443/10078713.pdf?arnumber=10078713

Reference21 articles.

1. A new data compression algorithm for power quality online monitoring;zhang;2009 International Conference on Sustainable Power Generation and Supply,2009

2. Synchrophasor Data Compression Under Disturbance Conditions via Cross-Entropy-Based Singular Value Decomposition

3. Real-Time Lossless Compression for Ultrahigh-Density Synchrophasor and Point-on-Wave Data

4. Model-Free Lossless Data Compression for Real-Time Low-Latency Transmission in Smart Grids

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1. Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

2. Design and Development of A Low-cost and Conveniently-deployable Behind-the-meter Monitoring Device;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29