作者: Chen Yang , Le Xie
DOI: 10.1109/NAPS.2012.6336383
关键词:
摘要: In this paper an autoregressive with exogenous input (ARX) based spatio-temporal solar forecast model is proposed. Compared conventional temporal-only models, the proposed formulation takes into account both spatial and temporal power correlations. The overall root mean squared error (RMSE) percentage can be reduced by 12.72% using compared persistence for hour ahead intervals.