Transfer learning for short-term wind speed prediction with deep neural networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Transfer learning for short-term wind speed prediction with deep neural networks

Published:2016-01 Issue: Volume:85 Page:83-95
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Hu Qinghua^ORCID,Zhang Rujia^ORCID,Zhou Yucan

Funder

Key Basic Research Project

National Natural Science Foundation of China

New Century Excellent Talents in University

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference39 articles.

1. Wind Energy Explained: Theory, Design and Application;Manwell,2010

2. Wind speed and generated power forecasting in wind farm;Yang;Chin. Soc. Electr. Eng.,2005

3. The effect of missing wind speed data on wind power estimation;Hocaoglu,2007

4. Using ensemble forecasting for wind power;Giebel,2003

5. Cleverfarm-First results from an intelligent wind farm;Giebel,2003

Cited by 340 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of short-term wind power generation forecasting methods in recent technological trends;Energy Reports;2024-12

2. Very short-term wind power forecasting for real-time operation using hybrid deep learning model with optimization algorithm;Cleaner Energy Systems;2024-12

3. TFFS: A trainable federal fusion strategy for multistep time series forecasting;Information Sciences;2024-09

4. Refining Long Short-Term Memory Neural Network Input Parameters for Enhanced Solar Power Forecasting;Energies;2024-08-22

5. CAGTRADE: Predicting Stock Market Price Movement with a CNN-Attention-GRU Model;Asia-Pacific Financial Markets;2024-06-17

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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3