PV Panel Model Parameter Estimation by Using Particle Swarm Optimization and Artificial Neural Network

Autor: Wai-Lun Lo, Henry Shu-Hung Chung, Richard Tai-Chiu Hsung, Hong Fu, Tak-Wai Shen

Publikováno v: Sensors, Vol 24, Iss 10, p 3006 (2024)

Photovoltaic (PV) panels are one of the popular green energy resources and PV panel parameter estimations are one of the popular research topics in PV panel technology. The PV panel parameters could be used for PV panel health monitoring and fault di

Externí odkaz: https://doaj.org/article/8747ba6d7a2e42ebb7ea3270835d3ccc

Intelligent Evaluation of Strabismus in Videos Based on an Automated Cover Test

Autor: Yang Zheng, Hong Fu, Ruimin Li, Wai-Lun Lo, Zheru Chi, David Dagan Feng, Zongxi Song, Desheng Wen

Publikováno v: Applied Sciences, Vol 9, Iss 4, p 731 (2019)

Strabismus is a common vision disease that brings about unpleasant influence on vision, as well as life quality. A timely diagnosis is crucial for the proper treatment of strabismus. In contrast to manual evaluation, well-designed automatic evaluatio

Externí odkaz: https://doaj.org/article/028ab15871954b2abaa3b6bae4c4d6bc

PV Panel Model Parameter Estimation by Using Neural Network

Autor: Wai Lun Lo, Henry Shu Hung Chung, Richard Tai Chiu Hsung, Hong Fu, Tak Wai Shen

Publikováno v: Sensors; Volume 23; Issue 7; Pages: 3657

Photovoltaic (PV) panels have been widely used as one of the solutions for green energy sources. Performance monitoring, fault diagnosis, and Control of Operation at Maximum Power Point (MPP) of PV panels became one of the popular research topics in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aec7be10abd47b19b138b430a8964b73

'Plug-and-Play' Tiny AI-Empowered Output Filter Parameter Extraction Framework with Single RNN Cell for Digital Power

Autor: Huai Wang, Henry Shu-Hung Chung, Alan Wai-Lun Lo, Kelvin Yi-Wen Hong

Publikováno v: Hong, K Y W, Chung, H S H, Lo, A W L & Wang, H 2021, 'Plug-and-Play' Tiny AI-Empowered Output Filter Parameter Extraction Framework with Single RNN Cell for Digital Power . in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021-Proceedings . IEEE, IEEE Energy Conversion Congress and Exposition, pp. 2755-2761, 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021, Virtual, Online, Canada, 10/10/2021 . https://doi.org/10.1109/ECCE47101.2021.9595594

A 'plug-and-play' tiny artificial intelligence (AI)-empowered output filter parameter extraction framework for digital power is presented. It can be integrated into existing digital power readily without introducing extra sensors. The framework aims

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f2b39f5551b7aa5a9c1c93c0a97a9a4
https://doi.org/10.1109/ecce47101.2021.9595594

Diagnostic module for series-connected photovoltaic panels

Autor: Huai Wang, Henry Shu-Hung Chung, Alan Wai lun Lo, Martin Garaj, Kelvin Yi-Wen Hong

Publikováno v: Garaj, M, Hong, K Y, Chung, H S H, Lo, A W L & Wang, H 2020, ' Diagnostic module for series-connected photovoltaic panels ', Solar Energy, vol. 196, pp. 243-259 . https://doi.org/10.1016/j.solener.2019.12.019

An online diagnostic module for condition monitoring of two series-connected photovoltaic panels is presented. The technique is based on firstly perturbing the terminal voltages and currents of the panels with a switched-inductor circuit, which can a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12a7a0be940ffdaa264e45ff3caf1bd5
https://vbn.aau.dk/da/publications/f6f0763c-1ad9-4fec-903f-e6beb1db46d5