Robust Data Driven Analysis for Electricity Theft Attack-Resilient Power Grid
Author:
Affiliation:
1. Engineering Department, Lancaster University, Bailrigg, Lancaster, U.K.
2. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan
Funder
Lancaster University, U.K.
COMSATS University Islamabad
Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/9998169/09743316.pdf?arnumber=9743316
Reference38 articles.
1. Siamese networks introduction and implementation;dutt,2022
2. A comparison of dropout and weight decay for regularizing deep neural networks;slatton,2014
3. A friendly introduction to siamese networks;sean benhur,2022
4. An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting
5. Electricity Theft Detection in AMI Using Customers’ Consumption Patterns
Cited by 23 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. A method for analyzing the irreparability of diverse electricity consumption data based on improved data generation technology;Applied Energy;2024-11
2. A novel data driven approach for combating energy theft in urbanized smart grids using artificial intelligence;Expert Systems with Applications;2024-11
3. Kalman reinforcement learning-based provably secured smart grid false data intrusion detection and resilience enhancement;Electrical Engineering;2024-08-25
4. Review on Temporal Convolutional Networks for Electricity Theft Detection with Limited Data;British Journal of Computer, Networking and Information Technology;2024-08-23
5. Two-stage optimization model for day-ahead scheduling of electricity- heat microgrids with solid electric thermal storage considering heat flexibility;Journal of Energy Storage;2024-08
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