Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Claude Ziad El Bayeh"'
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 6, Pp 1959-1967 (2024)
Electric vehicles and smart city concepts based on IoT tools seem to be high-technology solutions that impact the transportation system, road safety, and road management sectors. In a big city where the number of vehicles is high, and the city roads
Externí odkaz:
https://doaj.org/article/b3d9b337d0da4f41945322bc81ee8a68
Autor:
Masoud Dashtdar, Aymen Flah, Claude Ziad El‐Bayeh, Marcos Tostado‐Véliz, Ahmed Al Durra, Shady H.E. Abdel Aleem, Ziad M. Ali
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 10, Pp 2088-2100 (2022)
Abstract In this paper, the amount of microgrid frequency deviation in the dynamic state can be reduced by improving the frequency controller and implementing a new method. The proposed controller is designed for a microgrid including renewable resou
Externí odkaz:
https://doaj.org/article/d3a35f148a254a79bce29b6e64aa296e
Autor:
Naoui Mohamed, Flah Aymen, Turki E. A. Alharbi, Claude Ziad El-Bayeh, Sbita Lassaad, Sherif S. M. Ghoneim, Ursula Eicker
Publikováno v:
IEEE Access, Vol 10, Pp 43865-43881 (2022)
In the coming years, major transportation sectors will be electrified, in which more accessible and easy solutions for charging Electric Vehicles (EVs) become vital. Wireless charging is considered one of the best and easiest methods to charge EVs an
Externí odkaz:
https://doaj.org/article/9242754107974317aab6be2211981b12
Publikováno v:
IEEE Access, Vol 9, Pp 71994-72016 (2021)
Home Energy Management Systems (HEMSs) may not be able to solve network issues, especially in the presence of high penetration level of Electric Vehicles (EVs) and decentral renewable energy. To solve the problem, Grid Energy Management Systems (GEMS
Externí odkaz:
https://doaj.org/article/922e67338a6848c79b342430a0dc4938
Publikováno v:
IEEE Access, Vol 9, Pp 81612-81623 (2021)
The transition of the transportation sector from internal combustion engine vehicles to battery electric vehicles (EVs) will heavily increase the energy demand on the network, causing severe techno-economic problems. To solve these issues, advanced c
Externí odkaz:
https://doaj.org/article/72acc51023bf4cd7b684b449b85172b7
Autor:
Claude Ziad El-Bayeh, Imad Mougharbel, Dalal Asber, Maarouf Saad, Ambrish Chandra, Serge Lefebvre
Publikováno v:
IEEE Access, Vol 6, Pp 55870-55882 (2018)
Massive penetration of plug-in electric vehicles (EVs) may create challenges in the near future for the distribution network. Moreover, this may lead to an increase of the transformers' aging rate and a reduction of the financial profits. In this pap
Externí odkaz:
https://doaj.org/article/6bdfca6bf4ce43d7973f95a12ec909a5
Publikováno v:
Energies, Vol 14, Iss 20, p 6589 (2021)
High penetration levels of Plug-in Electric Vehicles (PEVs) could cause stress on the network and might violate the limits and constraints under extreme conditions, such as exceeding power and voltage limits on transformers and power lines. This pape
Externí odkaz:
https://doaj.org/article/30bd68b5ac24471cbfa1e5977d00b20f
Publikováno v:
Energies, Vol 14, Iss 15, p 4515 (2021)
This paper proposes an original multi-criteria decision-making optimization algorithm to select the best solar panels in an existing market and optimally size the photovoltaic (PV) system for an electric vehicle parking lot (EVPL). Our proposed algor
Externí odkaz:
https://doaj.org/article/41750995380d4d95a679dbfa832ca5f7
Publikováno v:
Algorithms; Volume 16; Issue 5; Pages: 236
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2138aba4529b6fe2aaa5dd9adcf998d
https://vb.ktu.edu/KTU:ELABAPDB168257111&prefLang=en_US
https://vb.ktu.edu/KTU:ELABAPDB168257111&prefLang=en_US
Autor:
Khaled Alzaareer, Qusay Salem, Claude Ziad EL-Bayeh, Salman Harasis, Ayman Al-Quraan, Ali Q. Al-Shetwi, Murad Al-omary
Publikováno v:
Smart Grids and Sustainable Energy. 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6ef4824ae3d6c66651a0a3c98902a6c
https://doi.org/10.1007/s40866-023-00166-1
https://doi.org/10.1007/s40866-023-00166-1