Very short term forecasting in global solar irradiance using linear and nonlinear models

Alvaro D. Orjuela-Cañón, Johann Hernández, Cristian Rodríguez Rivero

Research output: Chapter in Book/InformConference contribution

16 Scopus citations

Abstract

The behavior of the Photovoltaic Systems are based on solar radiation that focuses on the panels, thus the generation of energy depends on this resource. Planning of these systems makes that demanding energy can be interrupted due to variant radiation behavior. Very short term forecasting models can be useful to improve the available supplies. Present proposal allows a first approach for term shorter prediction of global solar irradiance. Linear and nonlinear models were compared to implement this forecasting. Results show that nonlinear models based on computational intelligence techniques provide better results with a simpler methodology to get the models.

Original languageEnglish (US)
Title of host publication2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509066780
DOIs
StatePublished - Jul 14 2017
Externally publishedYes
Event3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Bogota, Colombia
Duration: May 31 2017Jun 2 2017

Publication series

Name2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings

Conference

Conference3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017
Country/TerritoryColombia
CityBogota
Period5/31/176/2/17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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