VMD-SCINet: a hybrid model for improved wind speed forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01169-3.pdf
Reference30 articles.
1. Al-Duais FS, Al-Sharpi RS (2023) A unique markov chain monte carlo method for forecasting wind power utilizing time series model. Alex Eng J 74:51–63
2. Bentsen LØ, Warakagoda ND, Stenbro R, Engelstad P (2023) Spatio-temporal wind speed forecasting using graph networks and novel transformer architectures. Appl Energy 333:120565
3. Bommidi BS, Kosana V, Teeparthi K, Madasthu S (2023) Hybrid attention-based temporal convolutional bidirectional lstm approach for wind speed interval prediction. Environ Sci Pollut Res 1–13
4. Bommidi BS, Teeparthi K, Kosana V (2023) Hybrid wind speed forecasting using iceemdan and transformer model with novel loss function. Energy 265:126383
5. Bonventi W Jr, Godoy EP (2021) Fuzzy logic for renewable energy recommendation and regional consumption forecast using sarima and lstm. J Renewable and Sustain Energy 15(2):026101
Cited by 3 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. ICN: Interactive convolutional network for forecasting travel demand of shared micromobility;GeoInformatica;2024-06-21
2. ICEEMDAN-Informer-GWO: a hybrid model for accurate wind speed prediction;Environmental Science and Pollution Research;2024-05-02
3. A New Hybrid Model Based on SCINet and LSTM for Short-Term Power Load Forecasting;Energies;2023-12-23
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