Spatio-temporal photovolatic power forecasting via Bayesian-optimized dynamic graph convolutional networks with temporal convolutional networks

Journal:
Journal of Cleaner Production
Published:
DOI:
10.1016/j.jclepro.2026.147641
Affiliations:
3
Authors:
4
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Institutions Authors Share
Yanshan University (YSU), China
2.500000
 0.63
Shanghai Jiao Tong University (SJTU), China
1.000000
 0.25
MOE Key Laboratory of Intelligent Control and Neural Information Processing, YSU, China
0.500000
 0.13
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