Memorias de investigación
Artículos en revistas:
Comparative study of PV power forecast using parametric and nonparametric PV models
Año:2017
Áreas de investigación
  • Energía solar,
  • Generación fotovoltaica
Datos
Descripción
Forecast procedures for large ground mounted PV plants or smaller BIPV or BAPV systems may use a parametric or a nonparametric model of the PV system. In this paper, both approaches are used independently to calculate the energy delivered to the grid on an hourly basis in forecast procedures that use meteorological variables from a Numerical Weather Prediction model as inputs, and their performances against real generation data from six PV plants are analyzed. The parametric approach relies on mathematical models with several parameters that describe the PV systems and it was implemented in MATLAB®, whereas the nonparametric approach is based on Quantile Regression Forests with training and forecast stages and its code was built in R. The parametric approach presented more significant bias on its results, mostly due to the input data and the transposition model of irradiance from a horizontal surface to the plane of the PV array.
Internacional
Si
JCR del ISI
Si
Título de la revista
Solar Energy
ISSN
0038-092X
Factor de impacto JCR
4,018
Información de impacto
Volumen
155
DOI
10.1016/j.solener.2017.07.032
Número de revista
Desde la página
854
Hasta la página
866
Mes
SIN MES
Ranking
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Sistemas Fotovoltaicos
  • Centro o Instituto I+D+i: Instituto de Energía Solar
  • Departamento: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada