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A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature
Author(s) -
Raksha Ramakrishna,
Anna Scaglione,
Vijay Vittal,
Emiliano Dall’Anese,
Andrey Bernstein
Publication year - 2019
Publication title -
ieee transactions on signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.638
H-Index - 270
eISSN - 1941-0476
pISSN - 1053-587X
DOI - 10.1109/tsp.2019.2954973
Subject(s) - photovoltaic system , solar irradiance , solar power , probabilistic logic , computer science , environmental science , meteorology , power (physics) , engineering , artificial intelligence , physics , electrical engineering , quantum mechanics
In this paper, a stochastic model is proposed for a joint statistical description of solar photovoltaic (PV) power and outdoor temperature. The underlying correlation emerges from solar irradiance that is responsible in part for both the variability in solar PV power and temperature. The proposed model can be used to capture the uncertainty in solar PV power and its correlation with the electric p...

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