Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

S. Leva, A. Dolara, F. Grimaccia, M. Mussetta and E. Ogliari

Mathematics and Computers in Simulation (MATCOM), 2017, vol. 131, issue C, 88-100

Abstract: In this paper an artificial neural network for photovoltaic plant energy forecasting is proposed and analyzed in terms of its sensitivity with respect to the input data sets.

Keywords: Artificial neural network; Energy forecasting; Photovoltaic system (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (52)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:131:y:2017:i:c:p:88-100

DOI: 10.1016/j.matcom.2015.05.010

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