Self-adaptive enhanced learning differential evolution with surprisingly efficient decomposition approach for parameter identification of photovoltaic models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Self-adaptive enhanced learning differential evolution with surprisingly efficient decomposition approach for parameter identification of photovoltaic models

Published:2024-05 Issue: Volume:308 Page:118387
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Zhang Yujun,Li Shuijia,Wang Yufei,Yan Yuxin,Zhao Juan^ORCID,Gao Zhengming

Publisher

Elsevier BV

Reference57 articles.

1. A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models;Li;Renew Sustain Energy Rev,2021

2. Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton raphson method;Ridha;Energy,2021

3. Artificial bee swarm optimization algorithm for parameters identification of solar cell models;Askarzadeh;Appl Energy,2013

4. Parameter estimation of photovoltaic models with memetic adaptive differential evolution;Li;Sol Energy,2019

5. Parameters identification of photovoltaic models by using an enhanced adaptive butterfly optimization algorithm;Long;Energy,2021

Cited by 5 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. Parameters estimation of complex solar photovoltaic models using bi-parameter coordinated updating L-SHADE with parameter decomposition method;Case Studies in Thermal Engineering;2024-09

2. Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems;Knowledge and Information Systems;2024-07-15

3. Gene-targeting multiplayer battle game optimizer for large-scale global optimization via cooperative coevolution;Cluster Computing;2024-06-14

4. A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization;Cluster Computing;2024-06-08

5. Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine;Lecture Notes in Computer Science;2024

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