Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Conference Object Smart Inverter Droop Setting to Solve Voltage Issues in Distribution Networks(Institute of Electrical and Electronics Engineers Inc., 2025-11-27) Ceylan, Oguzhan; Lazzari, Riccardo; Savasci, Alper; Cakir, Muhammed Turhan; Rodio, Carmine; Sagripanti, AlessiaConference Object Citation - Scopus: 1Feature Selection for Protein Dihedral Angle Prediction(Institute of Electrical and Electronics Engineers Inc., 2017-09) Aydin, Zafer; Kaynar, Oǧuz; Görmez, YasinConference Object FDTD Simulations on The Single-Mode Operation of SiON-Doped Si Waveguides for LIDAR Applications(Institute of Electrical and Electronics Engineers Inc., 2025-11-27) Sanli, Atif Kerem; Tabaru, Timucin Emre; Duru, Iremnur; Ari, Metehan; Karatutlu, Ali; Demirtas, MustafaConference Object Citation - Scopus: 1Sensorless Position and Speed Control of IPMSM with Sliding Mode Observer and Voltage Signal Injection(Institute of Electrical and Electronics Engineers Inc., 2021-10-05) Tekgun, Burak; Ablay, Gunyaz; Ates, ErtugrulConference Object Low-Cost SERS Substrates via AuNP-Decorated Carbonized Polyimide Films for Fluorescence-Quenched Raman Sensing(Institute of Electrical and Electronics Engineers Inc., 2025-11-09) Tuzel, D.; Cinar, K.; Bek, A.; Khan, G.A.; Kina, S.; Genc, S.Conference Object Impact of Gene Duplicate Handling Strategies on Classification Performance and Feature Selection in Gene Expression Data(Institute of Electrical and Electronics Engineers Inc., 2025-09-17) Kuzudisli, Cihan; Qaqish, Bahjat; Gungor, Burcu Bakir; Yousef, MalikConference Object Enhancing Fire and Smoke Detection with YOLOv8: A Comparative Study of Self-Supervised Learning and Attention Mechanisms(Institute of Electrical and Electronics Engineers Inc., 2025-09-17) Kaya, Umut; Uluirmak, Bugra Alperen; Kurban, RifatConference Object Benchmarking AI-Based Forecasting Models Across Multiple Energy Sources: A Time Series Analysis in the European Context(Institute of Electrical and Electronics Engineers Inc., 2025-09-17) Dolar, Ayça; Çinarer, GökalpConference Object A Data-Driven Framework for Predicting Flight Arrival Delays Using Integrated Aviation and Meteorological Data(Institute of Electrical and Electronics Engineers Inc., 2025-09-17) Akyuz, Muhammed Sefa; Bakal, GokhanArticle Enhancing Mode Transition Dynamics in Non-Inverting Buck-Boost Inverters for PV Systems(Institute of Electrical and Electronics Engineers Inc., 2026) Keskinkilic, E.; Tekgun, B.Quasi-single-stage inverters (QSSIs) are notable for their simple structure and bidirectional operation capability in applications such as photovoltaic (PV) systems. Among these QSSI, the non-inverting buck-boost inverter (NIBBI) or four-switch buck-boost inverter (FSBBI) is often preferred due to its ability to perform both step-down and step-up operations. However, when traditional control is used, achieving a smooth transition and efficient conversion becomes challenging as the output voltage approaches the input voltage. The pulse width ratio limitations and non-idealities of active and passive components are the cause of this. In this paper, a comparative analysis of the mode transition techniques in FSBBI is presented using methods available for DC/DC converters. System efficiency and output voltage signal quality are selected as performance metrics. A 2-kW FSBBI is installed and controlled using single, two, modified two, three, and four-mode techniques. Simulation and experimental studies were conducted to validate the results. Based on these studies, the four-mode control technique was observed to be the most effective in eliminating dead zone effects, reducing total harmonic distortion (THD), and achieving the highest system efficiency in a PV system where a battery powers the AC load. Experimental results indicate that the four-mode modulation attained an efficiency of 95.49% with a THD of 2.97%. © 1986-2012 IEEE.