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A Tool for Spatially Based Prediction of Consumer Lawsuits against Electric Power Companies

Authors:
Domingos Dias
Johnatan Souza
João Diniz
Geraldo Braz
João Almeida
Anselmo Cardoso de Paiva
Erika Alves

Keywords: lawsuit; electricity sector; consumer profile; geoanalysis; geovisualization.

Abstract:
The main purpose of an energy company is the pro-vision of services to the final consumer. This does not mean that completely avoiding failures of the system is an easy task. These failures could lead to problems in the relationship between the energy company and the clients, resulting in judicial dispute. Thus, it is interesting for a power company to preemptively identify the consumers who are dissatisfied. Therefore, it is important for company executives to identify regions or groups of consumers that are related to the same cause that motivated a lawsuit.Thus, the present work aims to propose a tool for spatial analysis and spatially based prediction of consumer lawsuits against an electric power company using data mining and machine learning techniques. The results obtained from a database of an electric power company in Brazil showed results with 96.52% sensitivity in identifying consumers with lawsuits related to Unregistered Power Consumption (UPC). Also, a tool for visualization and spatial analysis of this group of clients is presented.

Pages: 54 to 60

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-762-7

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020