Generation of ambient temperature hourly time series for some Spanish locations by artificial neural networks

F. Almonacid, P. Pérez-Higueras, P. Rodrigo and L. Hontoria

Renewable Energy, 2013, vol. 51, issue C, 285-291

Abstract: In this paper, an artificial neural network (ANN) is used for the generation of ambient temperature hourly time series for some Spanish locations. The model was trained and tested with ten locations and different years of data. Results show that the proposed artificial neural network provides a better approach than other methods. The aim of this paper is to provide a complete description of this ANN so that, it can be used by anyone avoiding all the design, training and testing process again.

Keywords: Artificial neural network; Ambient temperature hourly time series (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:51:y:2013:i:c:p:285-291

DOI: 10.1016/j.renene.2012.09.022

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