Short-Term Wind Power Forecasting by a Long Short Term Memory Ensemble Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short-Term Wind Power Forecasting by a Long Short Term Memory Ensemble Approach

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Renewable Energy Congress (IREC)
language:
Short-container-title:

Author:

Marulanda Geovanny¹,Cifuentes Jenny²,Bello Antonio¹,Reneses Javier¹

Affiliation:

1. Comillas Pontifical University,Institute for Research in Technology (IIT), ICAI School of Engineering,Madrid,Spain

2. Universidad Pontificia Comillas,ICADE, Faculty of Economics and Business Administration,Department of Quantitative Methods,Madrid,Spain,28015

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10001766/10001862/10002025.pdf?arnumber=10002025

Reference21 articles.

1. Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting

2. Exploiting Spatio-Temporal Dependencies for RNN-based Wind Power Forecasts

3. Stl: A seasonal-trend decomposition;cleveland;Journal of Official Statistics,1990

4. Wind Power Long-Term Scenario Generation Considering Spatial-Temporal Dependencies in Coupled Electricity Markets

5. Municipal solid waste generation in China: influencing factor analysis and multi-model forecasting

Cited by 1 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 Novel Renewable Power Generation Prediction Through Enhanced Artificial Orcas Assisted Ensemble Dilated Deep Learning Network;IEEE Access;2024

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