Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning

Published:2024-09 Issue: Volume:304 Page:132188
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wang Han,Yan Jie,Zhang Jiawei,Liu Shihua,Liu Yongqian,Han Shuang,Qu Tonghui

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources

Publisher

Elsevier BV

Reference54 articles.

1. Cost increase in the electricity supply to achieve carbon neutrality in China;Zhuo;Nat Commun,2022

2. Future global electricity demand load curves;Castillo;Energy,2022

3. Integrated energy system scheduling considering the correlation of uncertainties;Huang;Energy,2023

4. A multi-step wind power group forecasting seq2seq architecture with spatial–temporal feature fusion and numerical weather prediction correction;Xu;Energy,2024

5. Proactively selection of input variables based on information gain factors for deep learning models in short-term solar irradiance forecasting;Chen;Energy,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP