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A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Institute of Electrical and Electronics Engineers (IEEE), 2011-02-01)
Nowadays, fraud detection is important to avoid nontechnical energy losses. Various electric companies around the world have been faced with such losses, mainly from industrial and commercial consumers. This problem has ...
The Dirac-delta functions for signal path-loss modeling at mid-sized urban areas
(Institute of Electrical and Electronics Engineers Inc., 2014-09)
A study of the Dirac-Delta functions with polynomial argument for modeling the signal path-loss in mid-sized urban areas is presented. From the fundamental "spike" property of the Dirac-Delta functions, or simply Delta, ...
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification
(2021-10-01)
Non-technical losses stand for the energy consumed but not billed, affecting the energy grid as a whole. Such an issue somehow prevails in developing countries, harming the quality of energy and preventing social programs ...
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Institute of Electrical and Electronics Engineers (IEEE), 2011-02-01)
Nowadays, fraud detection is important to avoid nontechnical energy losses. Various electric companies around the world have been faced with such losses, mainly from industrial and commercial consumers. This problem has ...
Unsupervised non-technical losses identification through optimum-path forest
(Elsevier B.V., 2016-11-01)
Non-technical losses (NTL) identification has been paramount in the last years. However, it is not straightforward to obtain labelled datasets to perform a supervised NTL recognition task. In this paper, the optimum-path ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2011)