A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production. Part II: Probabilistic forecast of daily production
- Author
- ZAMO, M1 ; MESTRE, O1 ; ARBOGAST, P2 ; PANNEKOUCKE, O2
[1] Météo-France, Direction de la Production, 42 av. Coriolis, 31057 Toulouse, France
[2] Météo France, CNRM/GMAP/RECYF, 42 av. Coriolis, 31057 Toulouse, France - Source
Solar energy. 2014, Vol 105, pp 804-816, 13 p ; ref : 3/4 p
- CODEN
- SRENA4
- ISSN
- 0038-092X
- Scientific domain
- Biotechnology; Energy
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Benchmark Ensemble numerical weather prediction Numerical weather prediction Photovoltaic power forecasting Quantile regression Statistical methods
- Keyword (fr)
- Analyse régression Approche probabiliste Centrale électrique Energie éolienne Etude comparative Evaluation performance Information technique Loi probabilité Modèle prévision Méthode statistique Production énergie électrique Prévision courte échéance Prévision météorologique Robustesse France Europe
- Keyword (en)
- Regression analysis Probabilistic approach Electric power plant Wind energy Comparative study Performance evaluation Technical information Probability distribution Forecast model Statistical method Electric power production Short range forecast Weather forecast Robustness France Europe
- Keyword (es)
- Análisis regresión Enfoque probabilista Central eléctrica Energía eólica Estudio comparativo Evaluación prestación Información técnica Ley probabilidad Modelo previsión Método estadístico Producción energía eléctrica Predicción corto plazo Predicción meteorológica Robustez Francia Europa
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05I Electrical power engineering / 001D05I02 Electric power plants / 001D05I02E Miscellaneous
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05I Electrical power engineering / 001D05I03 Direct energy conversion and energy accumulation / 001D05I03G Miscellaneous
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06C Natural energy / 001D06C04 Wind energy
- Discipline
- Electrical engineering. Electroenergetics Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28547203
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.solener.2014.03.026 
https://dx.doi.org/10.1016/j.solener.2014.03.026
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