Renew. Energy Environ. Sustain.
Volume 1, 2016
|Number of page(s)||5|
|Published online||30 August 2016|
Solar and wind forecasting by NARX neural networks
National Research Council of Italy, Institute of Intelligent Systems for Automation, Unit of Palermo,
⁎ e-mail: firstname.lastname@example.org
The nonlinear autoregressive network with exogenous input (NARX) is used to perform hourly solar irradiation and wind speed forecasting, according to a multi-step ahead approach. Temperature has been considered as the exogenous variable. The NARX topology selection is supported by a combined use of two techniques: (1) a genetic algorithm (GA)-based optimization technique and (2) a method that determines the optimal network architecture by pruning (optimal brain surgeon (OBS) strategy). The considered variables are observed at hourly scale in a seven year dataset and the forecasting is done for several time horizons in the range from 8 to 24 h ahead.
© A. Di Piazza et al., published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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