Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator-Reference-Cited by-同舟云学术

Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator

Published:2024-05 Issue: Volume:295 Page:131058
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Zhang Chu,Qiao Xiujie,Zhang Zhao,Wang Yuhan,Fu Yongyan,Nazir Muhammad Shahzad^ORCID,Peng Tian^ORCID

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Reference42 articles.

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2. Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN;Zhu;Energy,2021

3. Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM;Tian;Eng Appl Artif Intell,2020

4. SPLNet: a sequence-to-one learning network with time-variant structure for regional wind speed prediction;Ye;Inf Sci,2022

5. Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism;Zhang;Renew Energy,2021

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