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Abstract
This paper deals with the identification of a nonlinear solar power plant using neural networks. The nonlinear identification problem is tackled by decomposing the complex system in two main components: an active part and a passive part. For the active part of the solar power plant a model based on the parallel connection of ten neural networks; is built, while for the passive part a white box model and a neural network black box model are developed. All models are identified and validated using measurement data collected at Plataforma Solar de Almeria. Practical aspects regarding inputs selection and neural networks training are discussed, and physical modelling principles are explained. A comparison between the two overall models is also provided.
Keywords
identification, modelling, feedforward neural networks, backpropagation, solar power plant, nonlinear system, MULTILAYER FEEDFORWARD NETWORKS

Citation

Please use this url to cite or link to this publication:

MLA
Sbarciog, Mihaela-Iuliana, et al. “Neural Network Models for a Solar Power Plant.” PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE, edited by MH Hamza, ACTA Press, 2004, pp. 7–12.
APA
Sbarciog, M.-I., Wyns, B., Ionescu, C.-M., De Keyser, R., & Boullart, L. (2004). Neural network models for a solar power plant. In M. Hamza (Ed.), PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE (pp. 7–12). Calgary, Canada: ACTA Press.
Chicago author-date
Sbarciog, Mihaela-Iuliana, Bart Wyns, Clara-Mihaela Ionescu, Robain De Keyser, and Luc Boullart. 2004. “Neural Network Models for a Solar Power Plant.” In PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE, edited by MH Hamza, 7–12. Calgary, Canada: ACTA Press.
Chicago author-date (all authors)
Sbarciog, Mihaela-Iuliana, Bart Wyns, Clara-Mihaela Ionescu, Robain De Keyser, and Luc Boullart. 2004. “Neural Network Models for a Solar Power Plant.” In PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE, ed by. MH Hamza, 7–12. Calgary, Canada: ACTA Press.
Vancouver
1.
Sbarciog M-I, Wyns B, Ionescu C-M, De Keyser R, Boullart L. Neural network models for a solar power plant. In: Hamza M, editor. PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE. Calgary, Canada: ACTA Press; 2004. p. 7–12.
IEEE
[1]
M.-I. Sbarciog, B. Wyns, C.-M. Ionescu, R. De Keyser, and L. Boullart, “Neural network models for a solar power plant,” in PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE, Grindelwald, Switzerland, 2004, pp. 7–12.
@inproceedings{404961,
  abstract     = {{This paper deals with the identification of a nonlinear solar power plant using neural networks. The nonlinear identification problem is tackled by decomposing the complex system in two main components: an active part and a passive part. For the active part of the solar power plant a model based on the parallel connection of ten neural networks; is built, while for the passive part a white box model and a neural network black box model are developed. All models are identified and validated using measurement data collected at Plataforma Solar de Almeria. Practical aspects regarding inputs selection and neural networks training are discussed, and physical modelling principles are explained. A comparison between the two overall models is also provided.}},
  author       = {{Sbarciog, Mihaela-Iuliana and Wyns, Bart and Ionescu, Clara-Mihaela and De Keyser, Robain and Boullart, Luc}},
  booktitle    = {{PROCEEDINGS OF THE SECOND IASTED INTERNATIONL CONFERENCE ON NEURAL NETWORKS AND COMPUTATIONAL INTELLIGENCE}},
  editor       = {{Hamza, MH}},
  isbn         = {{0-88986-373-3}},
  keywords     = {{identification,modelling,feedforward neural networks,backpropagation,solar power plant,nonlinear system,MULTILAYER FEEDFORWARD NETWORKS}},
  language     = {{eng}},
  location     = {{Grindelwald, Switzerland}},
  pages        = {{7--12}},
  publisher    = {{ACTA Press}},
  title        = {{Neural network models for a solar power plant}},
  year         = {{2004}},
}

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