Short-Term Forecasting of Energy Production for a Photovoltaic System Using a NARX-CVM Hybrid Model

In this paper, a methodology for short-term forecasting of power generated by a photovoltaic module is reported. The method incorporates a nonlinear autoregressive with exogenous inputs (NARX) fed by the solar radiation and temperature times series, as well as an estimation of power time series obta...

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Detalles Bibliográficos

Principais autores:	Eduardo Rangel-Heras, César Angeles-Camacho, Erasmo Cadenas-Calderón, Rafael Campos-Amezcua
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-04-01
Series:	Energies
Assuntos:	solar energy electrical power forecasting artificial intelligence
Acceso en liña:	https://www.mdpi.com/1996-1073/15/8/2842
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