Билими

Тил билүү деңгээли

Диссертациялары

Илимий багыттары

Электр жана электроника, Инженерия

Илимий даражалары

Берген сабактары

ENM-463 Долбоорлоо (пландоо)

EEM-431 Телекоммуникациялык системалар i

EEM-205 Электр чынжырлары лабораториясы i

EEM-103 Электр жана электроника инж. жана карьераны план. кириш

ENM-461 Математикалык моделдөө

ENM-451 Квалификациялык бүтүрүү иши i

EEM-352 Автоматтык башкаруу

EEM-114 Англис тилиндеги академиялык баяндама жана презентация

EEM-106 Ыктымалдуулук теориясы жана кокус чоңдуктар

ELM-203 Электр чынжырлары лабораториясы i

Толук көрсөт...

Административдик кызматтары

Жетекчилык кылган диссертация темалары

SCI, SCI-E, SSCI жана AHCI индекстүү журналдарда басылган макалалары

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.

Башка журналдарда басылган макалалары

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Докладдары

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.

Китептери

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Долбоорлору

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Патенттери

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Дизайндары

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