Gaussian Process Regression Applied to VRLA Battery Voltage Prediction in Photovoltaic Off-Grid Systems

Authors

  • Iván Sanz Gorrachategui Group of Power Electronics and Microelectronics (GEPM), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza
  • Carlos Bernal Ruiz Group of Power Electronics and Microelectronics (GEPM), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza
  • Antonio Bono Nuez Human OpenWare Research Lab (HOWLab), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza
  • Milutin Pajovic Mitsubishi Electric Research Laboratory (MERL), Boston
  • Gabriel Martínez Ruata Group of Power Electronics and Microelectronics (GEPM), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza

DOI:

https://doi.org/10.26754/jji-i3a.201802826

Abstract

This study addresses the use of GPR techniques for VRLA battery voltage prediction purposes in PV off-grid systems. The goal is to know whether the system is able to endure a predictable power consumption pattern without running out of energy. Two approaches are considered: sample based prediction and pattern-based forecasting.

Downloads

Download data is not yet available.

Author Biographies

Carlos Bernal Ruiz, Group of Power Electronics and Microelectronics (GEPM), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza

 

 

Antonio Bono Nuez, Human OpenWare Research Lab (HOWLab), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza

 

 

Milutin Pajovic, Mitsubishi Electric Research Laboratory (MERL), Boston

 

 

Gabriel Martínez Ruata, Group of Power Electronics and Microelectronics (GEPM), Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza

 

 

Downloads

Published

2018-05-25

How to Cite

Sanz Gorrachategui, I., Bernal Ruiz, C., Bono Nuez, A., Pajovic, M., & Martínez Ruata, G. (2018). Gaussian Process Regression Applied to VRLA Battery Voltage Prediction in Photovoltaic Off-Grid Systems. Jornada De Jóvenes Investigadores Del I3A, 6. https://doi.org/10.26754/jji-i3a.201802826

Issue

Vol. 6: Actas de la VII Jornada de Jóvenes Investigadores del I3A - 8 de junio de 2018

Section

Artículos (Tecnologías Industriales)