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Comparación de funciones kernel para la predicción de la oferta energética fotovoltaica

RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação, 2020-12 (E38), p.310-324 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1646-9895

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  • Title:
    Comparación de funciones kernel para la predicción de la oferta energética fotovoltaica
  • Author: Mora-Paz, Héctor ; Riascos, Jaime A ; Salazar-Castro, J A ; Mora, Germán ; Pantoja, Andrés ; Revelo-Fuelagán, Javier ; Mancera-Valetts, Laura ; Peluffo-Ordoñez, Diego
  • Subjects: Algorithms ; Artificial neural networks ; Irradiance ; Kernel functions ; Landsat satellites ; Neural networks ; Satellites ; Support vector machines
  • Is Part Of: RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação, 2020-12 (E38), p.310-324
  • Description: Recently, at the fields of climate change and energy demand have turned their attention to the study and discovery of patterns in renewable energies, such as the photovoltaic-type. [...]patterns can be obtained by extrapolating radiation based on the electromagnetic spectrum bands captured by NASA's Landsat and MODIS satellites, where artificial neural network (ANN) and support vector machine (SVM) algorithms have produced the best models. Nonetheless, the acquisition of training data from those sources is expensive, as well as it lacks the exploration of kernel functions for this application. [...]in this study, adjustments were made in the above aspects, mainly through: coupling of new kernels to ANN and SVM in the scikit-learn library, contributing to the reuse and robustness of these algorithms; and implementing an experimental framework to tune hyper-parameters, thus generating results comparable to those reported in the state of the art. Los datos de entrenamiento se obtienen desde el sistema gestor de base de datos, mediante las ecuaciones (1), (2) y (3) donde Y, n ум son los operadores del algebra relacional de agrupación, proyección y producto cartesiano natural, respectivamente; pk es la llave primaria, A la tabla "reflectance", con los elementos xi representando a los atributos de A; así mismo, B representa la tabla "irradiance_grid_450" (ver Figura 2). ..
  • Publisher: Lousada: Associação Ibérica de Sistemas e Tecnologias de Informacao
  • Language: Spanish
  • Identifier: ISSN: 1646-9895
  • Source: ProQuest Central
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