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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
960
Place
Hamburgo (Alemania)
Reviewers
Si
ISBN/ISSN
3-936338-39-6
10.4229/EUPVSEC20152015-5BV.2.18
Start Date
14/09/2015
End Date
18/09/2015
From page
2227
To page
2233
Proceedings of the 31st PVSEC
Participants
  • Autor: Oscar Perpiñan Lamigueiro (UPM)
  • Autor: Luis Narvarte Fernandez (UPM)
  • Autor: M.P. Almeida
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Instituto de Energía Solar
  • Departamento: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
  • Departamento: Teoría de la Señal y Comunicaciones (Provisional)
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)