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Ozan Keysan
E-mail
keysan@metu.edu.tr
Department
Department of Electrical and Electronics Engineering
ORCID
0000-0002-6311-7906
Scopus Author ID
36349871300
Web of Science Researcher ID
AAZ-9096-2020
Publications
Theses Advised
Open Courses
Projects
A battery degradation-aware energy management system for agricultural microgrids
Safavi, Vahid; Vaniar, Arash Mohammadi; Bazmohammadi, Najmeh; Vasquez, Juan C.; Keysan, Ozan; Guerrero, Josep M. (2025-02-01)
The integration of renewable energy sources (RESs) into power grids underscores the necessity for efficient energy storage solutions to ensure power balance and increase grid reliability. Although battery energy storage sy...
Scaling Laws for Electromagnetic Launchers Considering Pulse Power Supply Limitations
Gulletutan, Gorkem; Tosun, Nail; Karagoz, Mustafa; Yildirim, Baran; Coklu, Zeynep; Keysan, Ozan (2025-01-01)
In all areas of engineering, testing a full-scale model is costly, risky, and time-consuming. The scaling laws can be implemented in electromagnetic launchers (EMLs) to reduce the risks of a full-scale implementation. The ...
Capacitor Lifetime Extension in Power Converter Systems Using Neural Networks
Alemdar, Ozturk Sahin; Şahin, İlker; Oner, Mustafa Umit; Altun, Ogün; Keysan, Ozan (2025-01-01)
Capacitors are one of the main components that limit the overall reliability of a power electronics converter. The major parameter limiting the lifetime of a capacitor is the hotspot temperature, which is directly related ...
Implementation of Small-Scale Artificial Neural Networks for Power Electronics Applications
Alemdar, Ozturk Sahin; Keysan, Ozan (2025-01-01)
Artificial Neural Networks (ANNs) can be used in power converter applications to identify a relationship between the input variables and target output variables dependent on these input variables. This feature can be used ...
Rewinding of Old 44 MVA Hydro Generator Considering Vibrational Forces
Yakut, M. Samet; Gülletutan, Görkem; Tosun, Nail; Keysan, Ozan (2024-10-09)
Early prediction of battery remaining useful life using CNN-XGBoost model and Coati optimization algorithm
Safavi, Vahid; Mohammadi Vaniar, Arash; Bazmohammadi, Najmeh; Vasquez, Juan C.; Keysan, Ozan; Guerrero, Josep M. (2024-09-20)
Lithium-ion (Li-ion) batteries are essential for modern power systems but suffer from performance degradation over time. Accurate prediction of the remaining useful life (RUL) of these batteries is critical for ensuring th...
Non-invasive real-time diagnosis of PMSM faults implemented in motor control software for mission critical applications
Demirel, Aykut; Keysan, Ozan; El-Dalahmeh, Ma'd; Al-Greer, Maher (2024-06-15)
The machine's health should be continuously monitored, or a test should be applied on a regular basis to predict failure before fatal damage is incurred. Unexpected failures, particularly in mission-critical applications, ...
Design and Analysis of a GaN-Based Megahertz Integrated Motor Drive for a PCB Motor
Gülsuna, Özgür; Tokgoz, Furkan; Karakaya, Furkan; Keysan, Ozan (2024-01-01)
Printed circuit board (PCB) motors present a compelling alternative to commercial electric motors due to their cost-effective mass production. Furthermore, integrated motor drives have gained popularity thanks to their hig...
Optimal sizing of battery energy storage system for a large-scale offshore wind power plant considering grid code constraints: A Turkish case study
Mokhtare, Mohammad Hossein; Keysan, Ozan (2024-01-01)
Integration of large-scale wind farms (WFs) into the grid has to meet the critical constraints set in the national grid code. Wind farm operators (WFOs) are inclined to comply with these constraints and avoid heavy penalty...
Modeling and Simulation of Fluxgate based Current Sensor
Çay, Yunus; Demirok, Erhan; Keysan, Ozan (2024-01-01)
Fluxgate-based current sensing is a prevalent method employed in residual-current devices (RCDs). However, the design and analysis of fluxgate transducers present challenges due to non-linear operational characteristics. A...
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