IoT-Based Intelligent System of Real-Time Data Acquisition and Transmission for Solar Photovoltaic Features-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

IoT-Based Intelligent System of Real-Time Data Acquisition and Transmission for Solar Photovoltaic Features

Published:2023 Issue: Volume: Page:559-565
ISSN:2367-3370
Container-title:Artificial Intelligence and Smart Environment
language:
Short-container-title:

Author:

Elyanboiy Naima,Khala Mohamed,Elabbassi Ismail,Elhajrat Nourddine,Teidj Sara,Eloutassi Omar,Messaoudi Choukri

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26254-8_81

Reference19 articles.

1. Triki-Lahiani, A., et al.: Fault detection and monitoring systems for photovoltaic installations: a review. Renew. Sustain. Energy Rev. 82, 2680–2692 (2017)

2. Zbib, B., et al.: Fault detection and diagnosis of photovoltaic systems through I-V curve analysis. In: Proceedings of the 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE), pp.1–6. IEEE Explore (2020)

3. Laghari, A.A., et al.: A review and state of art of Internet of Things (IoT). Arch. Comput. Meth. Eng. 1–19 (2021).https://doi.org/10.1007/s11831-021-09622-6

4. Mellit, A., et al.: Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems, challenges, recommendations and future directions. Renew. Sustain. Energy Rev. 143, 110889 (2021)

5. Ghosh, A., et al.: Artificial intelligence in Internet of things. CAAI Trans. Intell. Technol. 3(4), 208–218 (2018). ISSN 2468–2322

Cited by 1 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. Advanced intelligent fault detection for solar panels: incorporation of dust coverage ratio calculation;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

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