Metodologia para Identificação de Perdas Não Técnicas em Unidades Consumidoras localizadas em Áreas Rurais com Cultivo de Arroz Irrigado

  • Henrique S. Eichkoff Universidade Federal de Santa Maria (UFSM) Santa Maria
  • Daniel P. Bernardon henriquekoff@gmail.com
  • Natália B. Souza Universidade Federal de Santa Maria (UFSM) Santa Maria
  • Pedro Marcolin Universidade Federal de Santa Maria (UFSM) Santa Maria
  • Luciana M. Kopp Universidade Federal de Pelotas (UFPEL) Pelotas
  • Juliano S. Andrade Companhia Paulista Força e Luz (CPFL Energia) Campinas
  • Lucas M. Chiara Companhia Paulista Força e Luz (CPFL Energia) Campinas
Keywords: Irrigation Systems, Rural Consumers, k-Means, Non-Technical Losses, Random Forest

Abstract

This work presents a proposal for the identification of non-technical losses in rural consumers directed to irrigated rice cultivation. The methodology employs in the structure of its algorithm, the k- Means and Random Forest methods, for the clustering and classification of data, using as inputs, monthly records of billed energy from a group of irrigating consumers in the county of Uruguaiana/RS. In addition, the algorithm proposed by this study performs the estimate of electricity consumption of rural consumers based on information on crop planting areas and variables of irrigation systems.
Published
2022-11-30
Section
Articles