GIS-Based Electricity Fraud Detection System Using IoT

被引:0
|
作者
Bizimana, Zephanie [1 ,2 ]
Niyigaba, Ephrem [2 ]
Ngabo, Desire [1 ]
Masabo, Emmanuel [1 ]
Akin-Ojo, Omololu [1 ]
机构
[1] Univ Rwanda, African Ctr Excellence Internet Things, Coll Sci & Technol, Kigali, Rwanda
[2] Rwanda Polytech Integrated Polytech Reg Coll Ka, Karongi, Rwanda
来源
PROCEEDINGS OF NINTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2024, VOL 6 | 2024年 / 1002卷
关键词
Geographic Information System (GIS); Electricity fraud; Internet of Things (IoT); Thingspeak;
D O I
10.1007/978-981-97-3299-9_45
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Adequate electricity is amain challenge in low-income (developing) countries. Reducing technical and non-technical losses of electricity is, thus, important. This research aims at detecting the non-technical losses that are caused by electricity users who bypass the electricity meter and get electricity for free (theft), thus, lowering the financial income of the electricity utility companies. Beyond the detection of this fraud, this work will help identify the defaulters and propose a new approach to apprehending these fraudulent customers by introducing a system that compares the input and the output currents. If there is a mismatch in these quantities, the system activates a counter to start reading the amount of electricity stolen, reports the duration of the theft, and communicates directly with the branch manager of the utility company. The address and location of the fraudster, as well as the historical data of electricity usage, will be displayed (kept) and stored in a cloud and allow only authorized leaders of the electric utility board to keep records of all the frauds, areas of fraud, and the routes to get at the areas where the frauds are committed by using geospatial data with real-time information form Internet of Things devices deployed on the household.
引用
收藏
页码:559 / 570
页数:12
相关论文
共 50 条
  • [1] Solar electricity prospects in Oman using GIS-based solar radiation maps
    Gastli, Adel
    Charabi, Yassine
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2010, 14 (02): : 790 - 797
  • [2] GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters
    Ikuho Yamada
    Peter A. Rogerson
    Gyoungju Lee
    Journal of Geographical Systems, 2009, 11 : 155 - 173
  • [3] GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters
    Yamada, Ikuho
    Rogerson, Peter A.
    Lee, Gyoungju
    JOURNAL OF GEOGRAPHICAL SYSTEMS, 2009, 11 (02) : 155 - 173
  • [4] GIS-based detection of grain boundaries
    Li, Yingkui
    Onasch, Charles M.
    Guo, Yonggui
    JOURNAL OF STRUCTURAL GEOLOGY, 2008, 30 (04) : 431 - 443
  • [5] Fraud Detection in IoT-Based Financial Transactions Using Anomaly Detection Techniques
    Kafila
    Hassan, Mohammad
    Veena, C. H.
    Singla, Atul
    Joshi, Amit
    Lourens, Melanie
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [6] GIS-based Integrated Management Platform for Electricity Payment Channels
    Ning Bo
    Ma Lu Jin
    Li Ying
    Qin Hua Qin
    PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 35 : 1863 - 1868
  • [7] A GIS-based Waste Water Monitoring System Using LoRa Technology
    Windarto, Yudi E.
    Prasetijo, Agung B.
    Damara, Galang F.
    2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER, AND ELECTRICAL ENGINEERING (ICITACEE), 2018, : 176 - 179
  • [8] An approach to query relaxation using ontologies in a GIS-based archiving system
    Stenzer, Alexander
    Freitag, Burkhard
    PROCEEDINGS OF THE ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON GEOSTREAMING (IWGS) 2012, 2012, : 1 - 10
  • [9] Fraud Detection System for High and Low Voltage Electricity Consumers Based on Data Mining
    Cabral, Jose E.
    Pinto, Joao O. P.
    Pinto, Alexandra M. A. C.
    2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 2283 - +
  • [10] Machine Learning-Based Fraud Detection System for Insurance Claims in IoT Environment
    Sharan, Bediga
    Hassan, Mohammad
    Vani, V. Divya
    Raj, Vijilius Helena
    Nijhawan, Ginni
    Pawar, Priyanka Prabhakar
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,