Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference76 articles.
1. A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting;Hao;Appl Energy,2019
2. A center-of-concentrated-based prediction interval for wind power forecasting;Tsao;Energy,2021
3. A novel hybrid model for wind speed prediction based on VMD and neural network considering atmospheric uncertainties;Zhang;IEEE Access,2019
4. Wind power forecasting using attention-based gated recurrent unit network;Niu;Energy,2020
5. Development and application of slime mould algorithm for optimal economic emission dispatch;Hassan;Expert Syst Appl,2021
Cited by 91 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. Wind power forecasting based on ensemble deep learning with surrogate-assisted evolutionary neural architecture search and many-objective federated learning;Energy;2024-11
2. Ultra-short-term wind power forecasting based on a dual-channel deep learning model with improved coot optimization algorithm;Energy;2024-10
3. A new decomposition-ensemble strategy fusion with correntropy optimization learning algorithms for short-term wind speed prediction;Applied Energy;2024-09
4. A comprehensive survey on load forecasting hybrid models: Navigating the Futuristic demand response patterns through experts and intelligent systems;Results in Engineering;2024-09
5. Application on power system economic dispatch of marine predator algorithm improved by asymmetric information exchange;Heliyon;2024-09
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