Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jamer Jiménez Mares"'
Publikováno v:
Ingeniería e Investigación, Vol 38, Iss 2, Pp 52-60 (2018)
The identification of irregular users is an important assignment in the recovery of energy in the distribution sector. This analysis requires low error levels to minimize non-technical electrical losses in power grid. However, the detection of fraudu
Externí odkaz:
https://doaj.org/article/41d6a404cb284ed9ab35d057b316013c
Publikováno v:
Energies, Vol 13, Iss 16, p 4040 (2020)
The electrical sector needs to study how energy demand changes to plan the maintenance and purchase of energy assets properly. Prediction studies for energy demand require a high level of reliability since a deviation in the forecasting demand could
Externí odkaz:
https://doaj.org/article/cb03efc98adf424f8a70dc11dadcc7b9
Publikováno v:
Energies, Vol 13, Iss 9, p 2393 (2020)
This paper presents an intelligent system for the detection of non-technical losses of electrical energy associated with the fraudulent behaviors of system users. This proposal has three stages: a non-supervised clustering of consumption profiles bas
Externí odkaz:
https://doaj.org/article/38f7b3614d8244cea17277060c8d2812
Publikováno v:
IEEE Access. 11:36004-36014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e99459293db233081cab74607b9e052
https://doi.org/10.1109/access.2023.3264713
https://doi.org/10.1109/access.2023.3264713
Publikováno v:
Energies, Vol 13, Iss 4040, p 4040 (2020)
Energies; Volume 13; Issue 16; Pages: 4040
Energies; Volume 13; Issue 16; Pages: 4040
The electrical sector needs to study how energy demand changes to plan the maintenance and purchase of energy assets properly. Prediction studies for energy demand require a high level of reliability since a deviation in the forecasting demand could
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4810fada2a222c53f15b3b8ce1e7f2ff
https://www.mdpi.com/1996-1073/13/16/4040
https://www.mdpi.com/1996-1073/13/16/4040
Publikováno v:
Energies; Volume 13; Issue 9; Pages: 2393
Energies, Vol 13, Iss 2393, p 2393 (2020)
Energies, Vol 13, Iss 2393, p 2393 (2020)
This paper presents an intelligent system for the detection of non-technical losses of electrical energy associated with the fraudulent behaviors of system users. This proposal has three stages: a non-supervised clustering of consumption profiles bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3353e81361e995c98b99365b0b290f49
https://doi.org/10.3390/en13092393
https://doi.org/10.3390/en13092393