Journal article
Development of an integrated BLSVM-MFA method for analyzing renewable power-generation potential under climate change: A case study of Xiamen
Abstract
In order to reduce fossil-energy carbon emission and mitigate its climate change impact, developing integrated mathematical methods that are capable of predicting renewable power-generation (e.g., wind and photovoltaic power) potential are desired. This study advances an integrated Bayesian least-squares-support-vector-machine based multilevel-factorial-analysis (BLSVM-MFA) method to find out the main factors affecting wind- and …
Authors
Wang B; Li Y; Huang G; Gao P; Liu J; Wen Y
Journal
Applied Energy, Vol. 337, ,
Publisher
Elsevier
Publication Date
May 2023
DOI
10.1016/j.apenergy.2023.120888
ISSN
0306-2619