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

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

doi:10.1109/PEPQA.2017.7981691

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/Inform › Conference contribution

17 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 language	English (US)
Title of host publication	2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509066780
DOIs	https://doi.org/10.1109/PEPQA.2017.7981691
State	Published - Jul 14 2017
Externally published	Yes
Event	3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Bogota, Colombia Duration: May 31 2017 → Jun 2 2017

Publication series

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

Conference

Conference	3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017
Country/Territory	Colombia
City	Bogota
Period	5/31/17 → 6/2/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/PEPQA.2017.7981691

Cite this

Orjuela-Cañón, A. D., Hernández, J., & Rivero, C. R. (2017). Very short term forecasting in global solar irradiance using linear and nonlinear models. In 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings Article 7981691 (2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEPQA.2017.7981691

Orjuela-Cañón, Alvaro D. ; Hernández, Johann ; Rivero, Cristian Rodríguez. / Very short term forecasting in global solar irradiance using linear and nonlinear models. 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings).

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title = "Very short term forecasting in global solar irradiance using linear and nonlinear models",

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.",

author = "Orjuela-Ca{\~n}{\'o}n, \{Alvaro D.\} and Johann Hern{\'a}ndez and Rivero, \{Cristian Rodr{\'i}guez\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 ; Conference date: 31-05-2017 Through 02-06-2017",

year = "2017",

month = jul,

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doi = "10.1109/PEPQA.2017.7981691",

language = "English (US)",

series = "2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings",

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Orjuela-Cañón, AD, Hernández, J & Rivero, CR 2017, Very short term forecasting in global solar irradiance using linear and nonlinear models. in 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings., 7981691, 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017, Bogota, Colombia, 5/31/17. https://doi.org/10.1109/PEPQA.2017.7981691

Very short term forecasting in global solar irradiance using linear and nonlinear models. / Orjuela-Cañón, Alvaro D.; Hernández, Johann; Rivero, Cristian Rodríguez.
2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7981691 (2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings).

Research output: Chapter in Book/Inform › Conference contribution

TY - GEN

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AU - Orjuela-Cañón, Alvaro D.

AU - Hernández, Johann

AU - Rivero, Cristian Rodríguez

PY - 2017/7/14

Y1 - 2017/7/14

N2 - 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.

AB - 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.

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U2 - 10.1109/PEPQA.2017.7981691

DO - 10.1109/PEPQA.2017.7981691

M3 - Conference contribution

AN - SCOPUS:85027526775

T3 - 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 31 May 2017 through 2 June 2017

ER -

Orjuela-Cañón AD, Hernández J, Rivero CR. Very short term forecasting in global solar irradiance using linear and nonlinear models. In 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7981691. (2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings). doi: 10.1109/PEPQA.2017.7981691

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

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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