Zeros-MTL-CLDBN: A Robust Multitask Deep-Learning Framework via Deep-Belief Network with Correntropy Loss for Ultrashort-Term Multistep Wind Power Forecasting.

Saved in:
Bibliographic Details
Title: Zeros-MTL-CLDBN: A Robust Multitask Deep-Learning Framework via Deep-Belief Network with Correntropy Loss for Ultrashort-Term Multistep Wind Power Forecasting.
Authors: Ma, Wentao1, mawt@xaut.edu.cn, Dai, Jiahui2, 2221920065@stu.xaut.edu.cn, Chen, Xi3, 233397769@qq.com, Dong, Yuzhuo4, 2221920071@stu.xaut.edu.cn
Source: Journal of Energy Engineering; Aug2026, Vol. 152 Issue 4, p1-15, 15p
Database: Applied Science & Technology Source
Be the first to leave a comment!
You must be logged in first