A Novel ARX-based Multi-scale Spatio-temporal Solar Power Forecast Model Conference Paper

abstract

• In this paper an autoregressive with exogenous input (ARX) based spatio-temporal solar forecast model is proposed. Compared with conventional temporal-only autoregressive models, the proposed formulation takes into account both spatial and temporal solar power correlations. The overall root mean squared error (RMSE) percentage can be reduced by 12.72% using spatio-temporal solar forecast compared with persistence forecast model for hour ahead intervals. 2012 IEEE.

name of conference

• 2012 North American Power Symposium (NAPS)

authors

• Xie, Le

published proceedings

• 2012 North American Power Symposium (NAPS)

altmetric score

• 9

author list (cited authors)

• Yang, C., & Xie, L. e.

citation count

• 26

complete list of authors

• Yang, Chen||Xie, Le

publication date

• September 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/naps.2012.6336383

International Standard Book Number (ISBN) 13

• 9781467323086

start page

• 1

end page

• 6

volume

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fnaps.2012.6336383