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Memorias de investigación
Communications at congresses:
Using a nonparametric PV model to forecast AC power output of PV plants
Year:2015
Research Areas
  • Photovoltaic generation
Information
Abstract
In this paper, a methodology using a nonparametric model is used to forecast AC power output of PV plants using as inputs several forecasts of meteorological variables from a Numerical Weather Prediction (NWP) model and actual AC power measurements of PV plants. The methodology was built upon the R environment and uses Quantile Regression Forests as machine learning tool to forecast the AC power with a confidence interval. Real data from five PV plants was used to validate the methodology, and results show that the daily production of individual plants can be predicted with a skill score up to 0.361.
International
Si
Congress
31st European Photovoltaic Solar Energy Conference
970
Place
Hamburgo (Alemania)
Reviewers
Si
ISBN/ISSN
3-936338-39-6
Start Date
14/09/2015
End Date
18/09/2015
From page
1
To page
1
Proc. 31st EUPVSEC
Participants
  • Autor: M.P. Almeida
  • Autor: Oscar Perpiñan Lamigueiro (UPM)
  • Autor: Luis Narvarte Fernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Teoría de la Señal y Comunicaciones (Provisional)
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