The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation
Open accessAbstract
The solar photovoltaic (PV) energy has an important place among the renewable energy sources. Therefore, several researchers have been interested by its modelling and its prediction, in order to improve the management of the electrical systems which include PV arrays. Among the existing techniques, artificial neural networks have proved their performance in the prediction of the solar radiation. However, the existing neural network models don’t satisfy the requirements of certain specific situations such as the one analyzed in this paper. The aim of this research work is to supply, with electricity, a race sailboat using exclusively renewable sources. The developed solution predicts the direct solar radiation on a horizontal surface. For that, a Nonlinear Autoregressive Exogenous (NARX) neural network is used. All the specific conditions of the sailboat operation are taken into account. The results show that the best prediction performance is obtained when the training phase of the neural network is performed periodically.
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Cites
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Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model
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Cited by
Artificial Intelligence Aided Electronic Warfare Systems- Recent Trends and Evolving Applications
Sharma, P., Sarma, K. K., & Mastorakis, N. E. (2020) · IEEE Access · doi:10.1109/access.2020.3044453 · Cited by 83
Data-Driven pH Model in Raceway Reactors for Freshwater and Wastewater Cultures
Otálora, P., Guzmán, J. L., Berenguel, M., & Acién, F. G. (2023) · Mathematics · doi:10.3390/math11071614 · Cited by 21
Metadata
- Authors
- Boussaada, Z., Curea, O., Remaci, A., Camblong, H., & Mrabet Bellaaj, N.
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2018-03-10
- Volume
- 11
- Issue
- 3
- Pages
- 620
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2791416295
- Cited by
- 336
- References
- 15
- FWCI
- 21.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- Boussaada, Z., Curea, O., Remaci, A., Camblong, H., & Mrabet Bellaaj, N. (2018). A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation. Energies. https://doi.org/10.3390/en11030620
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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