SCIE, 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.
SCIE, 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.
SCIE, M.TURDUEV, B.Neseli, H.Kurt. (2023). Curved beam generation and its experimental realization by rectangular prism with asymmetric polynomial back surface. PHYSICA SCRIPTA, 98(1), 015026. DOI: 10.1088/1402-4896/acacce. https://www.webofscience.com/wos/woscc/full-record/WOS:000905277200001.
SCIE, M.TURDUEV, M.Ayik, H.Kurt, I.V.Minin, O.V.Minin. (2022). Multi-Directional Cloak Design by All-Dielectric Unit-Cell Optimized Structure. Nanomaterials, 12(23), 4194. DOI: 10.3390/nano12234194. https://www.webofscience.com/wos/woscc/full-record/WOS:000896400000001.
SCI, 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.
SCIE, M.TURDUEV, B.Neseli, Y.A.Yilmaz, H.Kurt. (2022). Inverse design of ultra-compact photonic gates for all-optical logic operations. Journal of Physics D: Applied Physics , 55(21), 215107. DOI: 10.1088/1361-6463/ac5660. https://www.webofscience.com/wos/woscc/full-record/WOS:000762495300001.
SCI, 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.
SCI, 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.
SCI, 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.
SCIE, 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.
SCIE, 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.
SCIE, 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.
SCIE, 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.
SCIE, 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.
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