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Authors: Zaid Bin Tariq 1 ; Naveed Arshad 2 and Muhammad Nabeel 2

Affiliations: 1 Department of Computer Science and School of Science and Engineering, Pakistan ; 2 Lahore Univeristy of Management Sciences, Pakistan

Keyword(s): Compression, LZMA, BZIP2, Smart Grid.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy Management Systems (EMS) ; Energy Monitoring ; Energy Profiling and Measurement ; Energy-Aware Systems and Technologies

Abstract: Smart grid is the next generation of electricity production, transmission and distribution system. This is possible through an overlayed communication layer with the power delivery layer. Due to this communication layer smart grids produce enormous amounts of data. This data may be analyzed for improving the quality of service of smart grids. However, handling such enormous amount of data is a challenge. LZMA and BZIP2 are two industrial strength compression techniques. In this paper we present an enhanced version of these two schemes specifically targeted to smart grid data through a pre-processing step. Our results show that while the original LZMA is able to compress the data size to around 80% our enhanced scheme using the preprocessing is able to reduce the size of the smart grid data to 98% on average.

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Paper citation in several formats:
Bin Tariq, Z.; Arshad, N. and Nabeel, M. (2015). Enhanced LZMA and BZIP2 for Improved Energy Data Compression. In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-105-2; ISSN 2184-4968, SciTePress, pages 256-263. DOI: 10.5220/0005454202560263

@conference{smartgreens15,
author={Zaid {Bin Tariq}. and Naveed Arshad. and Muhammad Nabeel.},
title={Enhanced LZMA and BZIP2 for Improved Energy Data Compression},
booktitle={Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2015},
pages={256-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005454202560263},
isbn={978-989-758-105-2},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Enhanced LZMA and BZIP2 for Improved Energy Data Compression
SN - 978-989-758-105-2
IS - 2184-4968
AU - Bin Tariq, Z.
AU - Arshad, N.
AU - Nabeel, M.
PY - 2015
SP - 256
EP - 263
DO - 10.5220/0005454202560263
PB - SciTePress

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