.png){kind=icon}
返回
Arithmetic coding based lossless compression schemes for power system steady state operational data
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijepes.2012.04.028.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Introduction of processor based instruments in power systems is resulting in the rapid growth of the measured data volume. The present practice in most of the utilities is to store only some of the important data in a retrievable fashion for a limited period. Subsequently even this data is either deleted or stored in some back up devices. The investigations presented here explore the application of lossless data compression techniques for the purpose of archiving all the operational data - so that they can be put to more effective use. Four arithmetic coding methods suitably modified for handling power system steady state operational data are proposed here. The performance of the proposed methods are evaluated using actual data pertaining to the Southern Regional Grid of India. (C) 2012 Elsevier Ltd. All rights reserved.
Keyword:
Power system
Steady state data
Arithmetic coding
Golomb-Rice coding
Data compression
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
机构
引用论文
.png){kind=icon}
Towards a postglacial history of the northern Great Plains: A review of the paleoecologic problems.
OAAI
OAAI分享收藏
查看更多内容