Cite
HARVARD Citation
Yin, H. et al. (2017). An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization. Energy conversion and management. pp. 108-121. [Online].
This is an interim version of our Electronic Legal Deposit Catalogue-eJournals and eBooks while we continue to recover from a cyber-attack.
Yin, H. et al. (2017). An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization. Energy conversion and management. pp. 108-121. [Online].