Cloud-edge collaborated dust deposition degree monitoring for distributed photovoltaic systems-Reference-Cited by-同舟云学术

Cloud-edge collaborated dust deposition degree monitoring for distributed photovoltaic systems

Published:2023-11 Issue: Volume:153 Page:109298
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Zhou Kangjia,Gao Feng,Hou Zhenyu,Liu Jin,Meng Xiangjian

Funder

National Natural Science Foundation of China National Outstanding Youth Science Fund Project

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference24 articles.

1. Network partition-based hierarchical decentralised voltage control for distribution networks with distributed PV systems;Luo;Int Jour Elec Power,2021

2. A comprehensive review of the impact of dust on the use of solar energy: history, investigations, results, literature, and mitigation approaches;Sarver;Renew Sust Energ Rev,2013

3. Impact of soiling on IV-curves and efficiency of PV-modules;Schill;Sol Energy,2015

4. Design of hybrid artificial bee colony algorithm and semi-supervised extreme learning machine for PV fault diagnoses by considering dust impact;Huang;IEEE Trans Power Electr,2020

5. Quantification and modeling of spectral and angular losses of naturally soiled PV modules;John;IEEE Jour Photovolt,2015

Cited by 4 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. Adaptive extreme learning machine using soft computing fuzzy propositions—Validating operating state of solar energy system;Applied Soft Computing;2024-10

2. Power Conversion Internet of Things: Architecture, Key Technologies and Prospects;IEEE Transactions on Industrial Informatics;2024-08

3. 21.83% incident light can circumvent a 6.6 × 6.6 cm² obstruction by introducing a layer of bubbles into the photovoltaic glass;Optics Express;2024-03-04

4. An upscaling minute-level regional photovoltaic power forecasting scheme;International Journal of Electrical Power & Energy Systems;2024-01