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Spatial-Temporal Estimation for Nontechnical Losses
(2016-02-01)
This paper presents a novel method for estimating the spatial distribution in geographical space of the nontechnical losses over time. The method progresses in two stages: in the first stage, a generalized additive model ...
Using baseline methods to identify non-technical losses in the context of smart grids
(2013-08-26)
Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for ...
Using baseline methods to identify non-technical losses in the context of smart grids
(2013-08-26)
Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for ...
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 ...
A new way for comparing solutions to non-technical electricity losses in South America
(2020-12-01)
Non-technical losses are a component of energy losses associated with energy theft and fraud by the final consumers, hindering revenues of distribution utilities. This paper aims to compare the implemented solutions in the ...
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 ...
Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection
(2013-08-26)
The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive ...
Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection
(2013-08-26)
The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive ...