Zobrazeno 1 - 10
of 459
pro vyhledávání: '"non-technical losses"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100748- (2024)
This study presents a multidisciplinary approach involving Explainable Artificial Intelligence (ExAI) and operational risk management to reduce Non-Technical Losses (NTL) in electricity distribution. It empirically explores how the activities of empl
Externí odkaz:
https://doaj.org/article/a4b00a3ed9aa4f7ea7f23f74a1dd7da0
Publikováno v:
IEEE Access, Vol 12, Pp 22687-22706 (2024)
The management of electricity distribution faces numerous challenges, including energy losses arising from technical and non-technical issues such as electricity theft. Energy losses due to theft have a significant global impact, including in South A
Externí odkaz:
https://doaj.org/article/b3f4a2c23de447e3859f6bb16475accd
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1392-1401 (2023)
Non-technical losses (NTL) refer to unrecorded power consumption generated by dishonest customers, which is a substantial issue affecting the power system stability and economic efficiency of the power grid. The detection of dishonest customers is hi
Externí odkaz:
https://doaj.org/article/7a87096c3e8344ea9a504776ac2a3470
Autor:
Matheus Felipe Gremes, Renato Couto Gomes, Andressa Ullmann Duarte Heberle, Matheus Alan Bergmann, Luísa Treptow Ribeiro, Janice Adamski, Flávio Alves dos Santos, André Vinicius Rodrigues Moreira, Antonio Manoel Matta dos Santos Lameirão, Roberto Farias de Toledo, Antonio Oseas de C. Filho, Cid Marcos Gonçalves Andrade, Oswaldo Curty da Motta Lima
Publikováno v:
Sensors, Vol 24, Iss 15, p 4924 (2024)
This study introduces an orbital monitoring system designed to quantify non-technical losses (NTLs) within electricity distribution networks. Leveraging Sentinel-2 satellite imagery alongside advanced techniques in computer vision and machine learnin
Externí odkaz:
https://doaj.org/article/d3a282e1d701493fa9620d36a4a47bf1
Publikováno v:
Energies, Vol 17, Iss 11, p 2502 (2024)
The non-technical losses caused by abnormal power consumption behavior of power users seriously affect the revenue of power companies and the quality of power supply. To assist electric power companies in improving the efficiency of power consumption
Externí odkaz:
https://doaj.org/article/9c8ce63117534530a44d1ffdf3582a87
Publikováno v:
IEEE Access, Vol 11, Pp 46522-46540 (2023)
Energy theft and defective meters not only lead to non-technical losses (NTLs) that are extremely detrimental to energy distributors and power infrastructure, but NTLs are also a major cause of damages to electricity and massive losses of revenue eac
Externí odkaz:
https://doaj.org/article/20b851bfc7ab40b7af346a4070378cac
Publikováno v:
Вестник Северо-Кавказского федерального университета, Vol 0, Iss 1, Pp 132-137 (2022)
This paper discusses the reasons for the high level of losses and the possible solutions to this problem. A method of localization of non-technical losses of electricity on the basis of state estimation of currents based on voltage measurement is pro
Externí odkaz:
https://doaj.org/article/a9acc7f505474a3cb2eb9582adcc2cb0
Publikováno v:
IEEE Access, Vol 10, Pp 133244-133255 (2022)
A stacking ensemble model (SEM) is proposed in this paper to identify non-technical losses. Three layers make up the proposed model. Data pre-processing is performed at the first layer, where issues of data imbalance, missing values, and data normali
Externí odkaz:
https://doaj.org/article/172dc79ee7fc4dda8a9512488826e1f1
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 349-356 (2021)
Electricity theft has significant impact on the power grids in terms of generating non-technical losses, which eventually degrading the power quality and minimizing the outfitted profit. In this paper, we proposed a hybrid approach based on deep lear
Externí odkaz:
https://doaj.org/article/fb32710845b8496b80ab0d9e18ecf094
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