The present study proposes an ensemble-based deep neural network (DNN) model for autonomous detection of visual faults such as glass breakage, burn marks, snail trail, and …
MD Mohammadi, F Abbas, H Louis… - Journal of Physics and …, 2023 - Elsevier
New and better materials with high energy density are of great concern to researchers. Therefore, the design and modeling of these materials is a growing area of research. In this …
Solar photovoltaic (PV) system technology is a significant energy source that has no moving parts and can accomplish the desired work with less effort. The technology can help to …
At the beginning of 2022, photovoltaic (PV) installation exceeded 1 TWp which was an impressive milestone in the solar energy industry. In 2021, at least 183 GW was installed …
This study presents a comprehensive multidisciplinary review of autonomous monitoring and analysis of large‐scale photovoltaic (PV) power plants using enabling technologies …
Thin-film solar cells attain excellent performance through the use of thin semiconducting layers that have exceptional light-harvesting capabilities. Although several thin-film solar …
J Caban, J Vrabel, D Górnicka, R Nowak, M Jankiewicz… - 2023 - academia.edu
Road transport is one of the most important factors for the national economy due to its universality and comprehensive possibilities of transporting people and goods …
At the beginning of 2022, photovoltaic (PV) installation exceeded 1 TWp which was an impressive milestone in the solar energy industry. In 2021, at least 183 GW was installed …
The increasing adoption of photovoltaic (PV) systems worldwide highlights the need for reliable fault detection techniques to ensure optimal system performance. This paper …