A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance

Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.energy.2015.01.066

Title:	A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
Authors:	Dong, Zibo Yang, Dazhi Reindl Thomas Guenter Walsh, Wilfred Michael
Issue Date:	2015
Publisher:	Elsevier
Citation:	Dong, Zibo, Yang, Dazhi, Reindl Thomas Guenter, Walsh, Wilfred Michael (2015). A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance. Energy 82 : 570-577. ScholarBank@NUS Repository. https://doi.org/10.1016/j.energy.2015.01.066
Source Title:	Energy
URI:	http://scholarbank.nus.edu.sg/handle/10635/128038
ISSN:	03605442
DOI:	10.1016/j.energy.2015.01.066
Appears in Collections:	Staff Publications

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