Probabilistic Forecasting of Offshore Wind Power Based on Dual-stage Attentional LSTM and Joint Quantile Loss Function

Probabilistic Forecasting of Offshore Wind Power Based on Dual-stage Attentional LSTM and Joint Quantile Loss Function

Probabilistic prediction of offshore wind power is not high in accuracy due to the predetermined threshold limitation of the traditional feature correlation method and the magnitude difference of the quantile loss in each quantile loss. To improve the probabilistic prediction accuracy, a multi-task...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiangjing SU, Haibo YU, Yang FU, Shuxin TIAN, Haiyu LI, Fuhai GENG
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2023-11-01
Series:Zhongguo dianli
Subjects:
offshore wind power
probabilistic prediction
attention mechanism
attention weight
feature relevance
quantile regression
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212011
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212011

Similar Items