Resumable Load Data Compression in Smart Grids

Author:

Unterweger Andreas,Engel DominikORCID

Funder

Austrian Federal Ministry of Science, Research, and Economy

Austrian National Foundation for Research, Technology, and Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Cited by 63 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An adaptive privacy protection framework for user energy data using dictionary learning and watermarking techniques;Applied Energy;2024-09

2. A Real-Time Lossless Compression Method for Harmonic Phasor Measurement Data Based on Golomb Coding;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26

3. Investigation of the Performance of Resumable Load Data Compression Algorithm (RLDA) for Distribution Voltage and Frequency Monitoring Data;2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET);2023-12-21

4. Research on Power Data Compression Based on Improved Wavelet Transform Method;2023 IEEE International Conference on Energy Internet (ICEI);2023-10-20

5. Optimal active load scheduling in a day-ahead energy market with uncertainty in demand;International Journal of ADVANCED AND APPLIED SCIENCES;2023-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3