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

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

17 Citas (Scopus)

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781509066780
DOI	https://doi.org/10.1109/PEPQA.2017.7981691
Estado	Publicada - jul. 14 2017
Publicado de forma externa	Sí
Evento	3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Bogota, Colombia Duración: may. 31 2017 → jun. 2 2017

Serie de la publicación

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

Conferencia

Conferencia	3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017
País/Territorio	Colombia
Ciudad	Bogota
Período	5/31/17 → 6/2/17

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Áreas temáticas de ASJC Scopus

Ingeniería energética y tecnologías de la energía
Ingeniería eléctrica y electrónica

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10.1109/PEPQA.2017.7981691

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Orjuela-Cañón, A. D., Hernández, J., & Rivero, C. R. (2017). Very short term forecasting in global solar irradiance using linear and nonlinear models. En 2017 3rd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2017 - Proceedings Artículo 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.",

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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. En 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).

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

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AU - Rivero, Cristian Rodríguez

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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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Orjuela-Cañón AD, Hernández J, Rivero CR. Very short term forecasting in global solar irradiance using linear and nonlinear models. En 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

Resumen

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Conferencia

ODS de las Naciones Unidas

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