Affiliations: Electrical Engineering Department, Pontifical Catholic University of Rio de Janeiro, Gávea, Rio de Janeiro, Brazil | Mathematical and Statistical Institute, Rio de Janeiro State University, Maracanã, Rio de Janeiro, Brazil
Note: [] Corresponding author. José Francisco Moreira Pessanha, Mathematical and Statistical Institute, Rio de Janeiro State University, 524, Sala 6028-B, Maracanã, CEP 20550-900, Rio de Janeiro, Brazil. E-mail: [email protected]
Abstract: The non-payment rate has been one of the main problems faced by the electric power distribution utilities. It is therefore essential that the utilities provide a methodology to assess the capability of a residential consumer to pay on time his/her electricity bill. As such, the utility will be able to simulate strategies and mitigate the risk of non-payment. This article presents a proposal based on fuzzy logic approach to compute a “Payment Capability Index” (PCI) for residential customers. A spatial view of PCI is provided by illustrative maps obtained by Geographic Information System (GIS).
Keywords: Fuzzy logic, electric power distribution utility, non-payment, GIS
