Consumption Prediction and Evaluation of Harmonic Distortion in a Hospital using Neural Networks

Authors

  • N. Tolentino Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • D. Borges Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • M. R. Albertini Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • L. P. Pires Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • F. A. Moura Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • M. V. Mendonça Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • A. J. Rosentino Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • D. Rodrigues Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • R. Rimoldi de Lima Department of Electrical Engineering Triangulo Mineiro Federal University, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • P. H. Rezende Department of Electrical Engineering of University of Uberlandia, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • G. Lima Department of Electrical Engineering of University of Uberlandia, Campus of Unit II ICTE Av. Randolfo 1378, Uberaba, MG (Brazil) Phone/Fax number:+0034 997932329 Author
  • J. O. Rezende Department of Electrical Engineering of Federal Institute of Goais Author

DOI:

https://doi.org/10.24084/repqj21.297

Keywords:

Artificial Neural Networks, Prediction of consumption, power quality, voltage harmonic distortion.

Abstract

This article aims to present a proposal for a methodology to analyze the energy efficiency of a hospital according to the current consumption obtained through field measurements. In addition, it aims to present the prediction of the increase in consumption over the years and correlate it with the possible increase in the harmonic distortion of stress. This analysis is essential for the studies of the connection impacts, allowing the estimation and evaluation of the energy quality through the harmonic voltage distortions over the years. The study is validated by comparing the consumption prediction curve obtained by Neural Network training with the data extracted from measurements and analysis of energy bills. The results show that the model generates the best prediction performance.

Published

2024-01-08

Issue

Section

Articles