Deep belief network based deterministic and probabilistic wind speed forecasting approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep belief network based deterministic and probabilistic wind speed forecasting approach

Published:2016-11 Issue: Volume:182 Page:80-93
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wang H.Z.,Wang G.B.,Li G.Q.,Peng J.C.,Liu Y.T.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Foundations of Shenzhen Science and Technology Committee

Shenzhen University Research and Development Startup Fund

National Basic Research Program (973 Program)

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference45 articles.

1. Regional wind power forecasting based on smoothing techniques, with application to Spanish peninsular system;Miguel;IEEE Trans Power Syst,2012

2. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks;Liu;Appl Energy,2013

3. Wind speed forecasting for wind farms: a method based on support vector regression;Santamaría-Bonfil;Renewable Energy,2016

4. A hybrid intelligent model for deterministic and quantile regression approach for probabilistic wind power forecasting;Haque;IEEE Trans Power Syst,2014

5. Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction;Salcedo-Sanz;Renew Energy,2009

Cited by 433 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. A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer;Applied Soft Computing;2024-11

3. Optimal planning for integrated electricity and heat systems using CNN-BiLSTM-Attention network forecasts;Energy;2024-11

4. A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments;Expert Systems with Applications;2024-10

5. Interpretable wind power forecasting combining seasonal-trend representations learning with temporal fusion transformers architecture;Energy;2024-10

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