Design of a combined wind speed forecasting system based on decomposition-ensemble and multi-objective optimization approach
Author:
Funder
the National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Applied Mathematics,Modeling and Simulation
Reference63 articles.
1. A novel hybrid model for short-term wind power forecasting;Du;Appl. Soft Comput.,2019
2. Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems;Zhou;Appl. Energy,2019
3. A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting;Hao;Appl. Energy,2019
4. Short-term wind speed forecasting by spectral analysis from long-term observations with missing values;Akçay;Appl. Energy,2017
5. A wind speed interval prediction system based on multi-objective optimization for machine learning method;Li;Appl. Energy,2018
Cited by 74 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. Unlocking the potential: A review of artificial intelligence applications in wind energy;Expert Systems;2024-08-27
2. A hybrid EMD and MODWT models for monthly precipitation forecasting using an innovative error decomposition method;Stochastic Environmental Research and Risk Assessment;2024-08-14
3. Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting;Applied Intelligence;2024-07-03
4. An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching;Sustainable Energy, Grids and Networks;2024-06
5. A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism;Energy Conversion and Management;2024-05
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