Zobrazeno 1 - 10
of 436
pro vyhledávání: '"electricity theft detection"'
Publikováno v:
Electricity, Vol 5, Iss 2, Pp 334-350 (2024)
Electricity theft comes with various disadvantages for power utilities, governments, businesses, and the general public. This continues despite the various solutions employed to detect and prevent it. Some of the disadvantages of electricity theft in
Externí odkaz:
https://doaj.org/article/b4ddd053432045a48a6f13530dad244c
Publikováno v:
In Applied Energy 15 January 2025 378 Part A
Autor:
Ali Jaber Almalki
Publikováno v:
IEEE Access, Vol 12, Pp 187027-187040 (2024)
In the energy sector, electricity theft presents serious financial and security risks. By fusing supervised learning models (Random Forest) with unsupervised learning algorithms (Isolation Forest, One-Class Support Vector Machine (SVM), Local Outlier
Externí odkaz:
https://doaj.org/article/a813640f63da43c8803f38bb147c04db
Publikováno v:
IEEE Access, Vol 12, Pp 42737-42750 (2024)
Illegal electricity users pose a significant threat to the economic and security aspects of the power system by illicitly accessing or manipulating electrical resources. With the widespread adoption of Advanced Metering Infrastructure (AMI), research
Externí odkaz:
https://doaj.org/article/8e7b05a9cabb4ba390b7f18c97ad232b
Publikováno v:
IEEE Access, Vol 12, Pp 26023-26045 (2024)
Electricity theft is a pervasive issue with economic implications that necessitate innovative approaches for its detection, given the critical challenge of limited labeled data. However, connecting smart home devices introduces numerous vectors for e
Externí odkaz:
https://doaj.org/article/3f16d591bed34398a3ac70b751daaeed
Publikováno v:
IEEE Access, Vol 12, Pp 15477-15492 (2024)
Electricity theft is a prevalent global issue that has detrimental effects on both utility providers and electricity consumers. This phenomenon undermines the economic stability of utility companies, worsens power hazards, and influences electricity
Externí odkaz:
https://doaj.org/article/a69a29c723094b0ea0fb284a2f01455a
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 1, Pp 213-224 (2024)
With the development of advanced metering infrastructure (AMI), large amounts of electricity consumption data can be collected for electricity theft detection. However, the imbalance of electricity consumption data is violent, which makes the trainin
Externí odkaz:
https://doaj.org/article/dfdaa0150b7d49abb235e2cd7a5ebeac
Autor:
CHENG Yueyu, CHENG Guofeng
Publikováno v:
Zhejiang dianli, Vol 42, Iss 11, Pp 96-103 (2023)
Given the low accuracy of the traditional electricity theft detection method based on one-dimensional electricity consumption data mining and analysis， a detection method for electricity theft by distribution network users based on a hybrid neural
Externí odkaz:
https://doaj.org/article/1845ca4b4fe6431b8b58e09e8eb756f5
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part E
Publikováno v:
In Applied Energy 1 July 2024 365