NDLI: Lossless compression of wind plant data

Content Provider	IEEE Xplore Digital Library
Author	Louie, H. Miguel, A.
Copyright Year	2013
Description	Author affiliation: ECE, Seattle Univ., Seattle, WA, USA (Louie, H.; Miguel, A.)
Abstract	Summary form only given. Substantial quantities of wind plant data are being accumulated as interest and investment in renewable energy grows. These data sets can approach tens of terabytes in size, making their management, storage, manipulation, and transmission burdensome. Lossless compression of the data sets can mitigate these challenges without sacrificing accuracy. This paper develops and analyzes lossless compression algorithms that can be applied to data used in integration studies and data used in wind plant monitoring and operation. The algorithms exploit wind speed-to-wind power relationships, and the temporal and spatial correlations in the data. The Shannon entropy of wind power and speed data is computed to gain insight on the uncertainty of wind power and speed and to benchmark performance of the compression algorithms. The algorithms are applied to the National Renewable Energy Laboratory's Western and Eastern Data Sets and to actual wind turbine data. The resulting compression ratios are up to 50 percent higher than those obtained by direct application of off-the-shelf lossless compression methods.
Sponsorship	IEEE Power Energy Soc.
Starting Page	1
Ending Page	1
File Size	56782
Page Count	1
File Format	PDF
ISBN	9781479913039
ISSN	19449925
DOI	10.1109/PESMG.2013.6672173
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Renewable energy sources Compression algorithms Wind power generation Educational institutions Investment Accuracy Monitoring
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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