Electricity theft: a comparative analysis

By T. B. Smith. 2004

452 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/1903d158a95cfaa89eedf46ae1996dffa97cd629

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In Electrical and Electronic Engineering

In Pollution

Citations in the corpus

Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines (2010, background): “5% of the gross annual revenue [7], which is relatively low when compared to losses faced by electric utilities in developing countries such as Bangladesh [8], India [9], and Pakistan [10].”
Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally (2019, background): “483 It is assumed, that losses usually cannot be less than 2% due to specific processes and the equipment, which is 484 yet impossible to improve up to a zero percent loss in well organized and efficient grids [33].”
Sustainable energy in Africa: A comprehensive data and policies review (2014, background): “) that greatly affects ECO3 within the context of Africa (and generally of Developing Countries) [158–161].”
Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method (2008, background): “…irregularities with the help of internal employees by means of such sub-terfuges as making out lower bills, adjusting the decimal point position on bills, or just ignoring unpaid bills [2] (3) Although some electrical power loss is inevitable, steps can be taken to ensure that it is minimized.”
Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach (2019, background): “Many researchers mentioned a di ﬀ erent class of loss, named gratis, which occurs when electricity is provided free of charge [10].”