Multitime-Scale Data-Driven Spatio-Temporal Forecast of Photovoltaic Generation

The increasing penetration of stochastic photovoltaic (PV) generation in electric power systems poses significant challenges to system operators. To ensure reliable operation of power systems, accurate forecasting of PV power production is essential. In this paper, we propose a novel multitime-scale...

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Veröffentlicht in:	IEEE transactions on sustainable energy 2015-01, Vol.6 (1), p.104-112
Hauptverfasser:	Yang, Chen, Thatte, Anupam A., Xie, Le
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Autoregressive processes Computational modeling Correlation Data models Mathematical model photovoltaic (PV) generation forecast Predictive models solar irradiance spatial correlation spatio-temporal (ST) Training
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