Eğitim Bilgileri

Dil Becerisi

Yaptığı Tezler

Araştırma Alanları

Elektrik-Elektronik, Mühendislik

Akademik Ünvanları

Verdiği Dersler

EEM-431 HABERLEŞME SİSTEMLERİ I

EEM-302 OTOMATİK KONTROL SİSTEMLERİ

EEM-205 ELEKTRİK DEVRELERİ LABORATUVARI I

EEM-114 İNGİLİZCE AKADEMİK RAPORLAMA VE SUNUŞ

EEM-106 OLASILIK TEORİSİ VE RASTGELE DEĞİŞKENLER

EEM-103 ELEKTRİK-ELEKTRONİK MÜHENDİS. GİRİŞ VE KARİYER PLANLAMA

ENM-461 MATEMATİKSEL MODELLEME

ENM-451 BİTİRME TEZİ I

EEM-352 OTOMATİK KONTROL SİSTEMLERİ

ELM-203 ELEKTRİK DEVRELERİ LABORATUVARI I

Daha fazla göster...

Yönetimsel Görevler

Yönetilen Tezler

SCI, SCI-E, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler

1. G.Gök, Ö.S.DURNA, C.Taplamacioglu. (2023). Transient event classification using pmu data with deep learning techniques and synthetically supported training-set. IET Generation Transmission and Distribution , 17(6), 1287-1297. DOI: https://doi.org/10.1049/gtd2.12734. https://www.webofscience.com/wos/woscc/full-record/WOS:000905387200001.
2. M.CALISKAN, Ö.S.DURNA, M.CIYDEM. (2023). Waveform Correlation Based Harmonic Voltage Contribution Determination of Iron and Steel Plants Supplied From PCC. IEEE Transactions on Industry Applications, 59(4), 5178-5189. DOI: 10.1109/TIA.2023.3265476. https://www.webofscience.com/wos/woscc/full-record/WOS:001033597000113.
3. S.AKKAYA, Ö.S.DURNA. (2022). Flicker Detection Algorithm Based on the Whole Voltage Frequency Spectrum for New Generation Lamps – Enhanced VPD Flickermeter Model and Flicker Curve. Electric Power Components and Systems, 1(15), 1-15. DOI: 10.1080/15325008.2021.2011487. https://www.webofscience.com/wos/woscc/full-record/WOS:000740572000001.
4. M.ÇALIŞKAN, Ö.S.DURNA, M.Ciydem. (2022). Harmonic Contribution Detection of Iron and Steel Plants Based on Correlation of Time-Synchronized Current and Voltage Signals. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 58(6), 8033-8044. https://www.webofscience.com/wos/woscc/full-record/WOS:000892924400107.
5. E.SEZGİN, A.Mohapatra, T.Hamacher, Ö.S.DURNA, P.Veric. (2022). Fast harmonic analysis for PHIL experiments with decentralized real-time controllers. Electric Power System Research, 211(108493), 1-8. DOI: 10.1016/j.epsr.2022.108493. https://www.webofscience.com/wos/woscc/full-record/WOS:000836904300016.
6. E.BALOUJI, Ö.S.DURNA, T.McKelvey. (2022). Deep Learning Based Predictive Compensation of Flicker, Voltage Dips, Harmonics and Interharmonics in Electric Arc Furnaces. IEEE Transactions on Industry Applications, 58(3), 4214-4224. DOI: 10.1109/TIA.2022.3160135. https://www.webofscience.com/wos/woscc/full-record/WOS:000799279300114.
7. N.SEVEROĞLU, Ö.S.DURNA. (2021). Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly From Waveform Samples Using Deep Learning Framework. IEEE Transactions on Industry Applications, 57(6), 6730-6740. DOI: 10.1109/TIA.2021.3114127. https://www.webofscience.com/wos/woscc/full-record/WOS:000722035300113.
8. Ö.S.DURNA, N.SEVEROĞLU. (2020). Amplitude and phase estimations of power system harmonics using deep learning framework. IET Generation Transmission and Distribution , 14(19), 4089-4096. https://www.webofscience.com/wos/woscc/full-record/WOS:000571857300017.
9. Ç.ALTINTAŞI, Ö.AYDIN, C.TAPLAMACIOĞLU, Ö.S.DURNA. (2020). Power system harmonic and interharmonic estimation using Vortex Search Algorithm. Electric Power System Research, 182(106187), 1-12. https://www.webofscience.com/wos/woscc/full-record/WOS:000525763600003.
10. E.BALOUJI, K.Backstrom, T.McKelvey, Ö.S.DURNA. (2020). Deep-Learning-Based Harmonics and Interharmonics Predetection Designed for Compensating Significantly Time-Varying EAF Currents. IEEE Transactions on Industry Applications, 56(3), 3250-3260. https://www.webofscience.com/wos/woscc/full-record/WOS:000559740800107.
11. Ö.S.DURNA, U.ORGUNER, Ç.ALTINTAŞI. (2020). Performance limits for the amplitude estimation of power system harmonics & interharmonics. IET Generation Transmission and Distribution , 14(19), 4108-4121. DOI: 10.1049/iet-gtd.2020.0080. https://www.webofscience.com/wos/woscc/full-record/WOS:000571857300019.

Diğer Dergilerde Yayınlanan Makaleler

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Bildiriler

1. M.ÇALIŞKAN, Ö.S.DURNA, M.ÇİYDEM. Waveform Correlation Based Harmonic Voltage Contribution Determination of Iron and Steel Plants Supplied From PCC. IEEE Industry Applications Society Annual Meeting 2022, 2022. DOI: 10.1109/IAS54023.2022.9939680. https://ias.ieee.org/2022annualmeeting.
2. E.SEZGİN, A.Mohapatra, T.Hamacher, Ö.S.DURNA, V.Peric. Fast harmonic analysis for PHIL experiments with decentralized real-time controllers. Power System Computation Conference 2022, 2022. DOI: https://pscc.epfl.ch/rms/modules/request.php?module=oc_program&action=program.ph. https://pscc2022.pt/.
3. E.BALOUJI, Ö.S.DURNA, T.McKelvey. Predictive Compensation of EAF Flicker, Voltage Dips Harmonics and Interharmonics Using Deep Learning. IEEE Industry Applications Society Annual Meeting 2021, 2021. DOI: 10.1109/IAS48185.2021.9677400. https://ias.ieee.org/2021annualmeeting.
4. M.ÇALIŞKAN, Ö.S.DURNA, M.ÇİYDEM. Harmonic Contribution Detection of Iron and Steel Plants Based on Correlation of Time-Synchronized Current and Voltage Signals. IEEE Industry Applications Society Annual Meeting 2021, 2021. DOI: 10.1109/IAS48185.2021.9677202. https://ias.ieee.org/2021annualmeeting.
5. M.ÇALIŞKAN, Ö.S.DURNA. Determination of Harmonic Current Responsibility at Point of Common Coupling of the Electrical System by Correlation of Voltage and Current Signals. 2020 28th Signal Processing and Communications Applications Conference (SIU), 2020. DOI: 10.1109/SIU49456.2020.9302285. https://www.webofscience.com/wos/woscc/full-record/WOS:000653136100259.
6. E.BALOUJI, K.Backstrom, T.McKelvey, Ö.S.DURNA. Deep-Learning-Based Harmonics and Interharmonics Predetection Designed for Compensating Significantly Time-Varying EAF Currents. IEEE Industry Applications Society Annual Meeting 2019, 2019. https://ias.ieee.org/2019annualmeeting.

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