Hybrid feature selection model for accurate wind speed forecasting from numerical weather prediction dataset
Author:
Publisher
Elsevier BV
Reference34 articles.
1. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer;Altan;Applied Soft Computing,2021
2. Gaussian process regression for numerical wind speed prediction enhancement;Cai;Renewable energy,2020
3. Dahea, Waleed & Fadewar, H. S. (2019). Feature Selection Based On Hybrid Genetic Algorithm With Support Vector Machine (GA- SVM). 190-198. Doi: 10.13140/RG.2.2.29023.48800.
4. A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error;Duan;Renewable Energy,2022
5. A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM;Fu;Renewable Energy,2021
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