Microgrid Energy Management Systems Design by Computational Intelligence Techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Microgrid Energy Management Systems Design by Computational Intelligence Techniques

Published:2020-11 Issue: Volume:277 Page:115524
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Leonori Stefano,Martino Alessio,Frattale Mascioli Fabio Massimo,Rizzi Antonello

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference56 articles.

1. Energy management in power distribution systems: Review, classification, limitations and challenges;Alam;IEEE Access,2019

2. A survey of modelling and smart management tools for power grids with prolific distributed generation;Dkhili;Sustain Energy Grids Netw,2020

3. Hierarchical control of droop-controlled ac and dc microgrids–a general approach toward standardization;Guerrero;IEEE Trans Industr Electron,2011

4. Trends in microgrid control;Olivares;IEEE Trans Smart Grid,2014

5. A survey on demand response in smart grids: Mathematical models and approaches;Deng;IEEE Trans Industr Inf,2015

Cited by 64 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. Factoring Electrochemical and Full-Lifecycle Aging Modes of Battery Participating in Energy and Transportation Systems;IEEE Transactions on Smart Grid;2024-09

2. Comparison of different optimization techniques applied to optimal operation of energy storage systems in standalone and grid-connected direct current microgrids;Journal of Energy Storage;2024-08

3. Rooftop solar potential in micro, small, and medium size enterprises: An insight into renewable energy tapping by decision-making approach;Solar Energy;2024-07

4. Designing a multi-objective energy management system in multiple interconnected water and power microgrids based on the MOPSO algorithm;Heliyon;2024-05

5. A review of the applications of artificial intelligence in renewable energy systems: An approach-based study;Energy Conversion and Management;2024-04

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