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    Digital Marketing Strategies for Smart Grids: Utilizing Online Platforms to Drive Awareness and Adoption
    (16.03.2025) Senyapar, Hafize Nurgul Durmus; Colak, Ilhami; Bayindir, Ramazan
    This study investigates the multifaceted role of digital marketing strategies in driving the awareness, acceptance, and adoption of Smart Grid (SG) technologies. The research uses a qualitative exploratory approach to analyze how various online platforms—including social media, multimedia content, email marketing, and paid advertising—can effectively engage diverse audience segments, such as consumers, businesses, utility companies, and policymakers. The findings underscore the importance of personalized, data-driven approaches in enhancing public understanding of SG technologies while emphasizing community engagement and trust-building among stakeholders. The study highlights how sophisticated digital marketing tactics—ranging from engaging videos, podcasts, and infographics to targeted paid advertising—simplify complex SG concepts and increase SG solutions’ visibility and perceived value. Emerging trends, such as influencer marketing and advanced analytics, are critical drivers of future digital marketing efforts in the energy sector. This research provides practical insights for energy companies, policymakers, and marketers, underscoring the potential of digital marketing as a catalyst for accelerating SG adoption, contributing to improved energy efficiency, and fostering a more sustainable energy future
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    DTC-SVM Control for WECS Based on PMSG Using the Super-Twisting Algorithm
    (IEEE, 02.10.2024) Elbar, Chaima Yasmine; Belkacem, Sebti; Colak, Ilhami; Dendouga, Abdelhakim; Farida, Mazouz; Chikhi, Abdesselem
    In this research, we suggest a control scheme that incorporates the advantages of SOSMC and SVM-based DTC to boost the efficiency of Wind Energy Conversion Systems (WECS), which utilize PMSG. SOSMC can be used to improve PMSG control in variable renewable energy environments with robustness against uncertainties and disturbances. By incorporating Space Vector Modulation based Direct Torque Control, you can effectively control the generator's flux and torque, ensuring high efficiency and lower harmonic content in the output waveform. The suggested control technique was validated by computer simulations using the MATLAB/Simulink programme.
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    PV-MPPT Lab: A GUI-Based Education Tool for MPPT Techniques
    (Ieee-Inst Electrical Electronics Engineers Inc, 2024) Kayisli, Korhan; Caglayan, Ruhi Zafer; Colak, Ilhami
    This article aims to present the design of a GUI application that serves as an educational and analytical tool. The GUI application is intended for educational purposes, allowing users to learn about the linear and renewable energy sources. This GUI has been designed to explain, teach, and implement maximum power point tracking (MPPT) techniques that enable maximum power extraction from photovoltaic (PV) panels. Contribution: This study introduces a novel educational tool designed to enhance the understanding of different MPPT methods among engineering students. The GUI tool was implemented and utilized throughout a semester in the course named power electronic applications in power systems, specifically aimed at postgraduate level students. Background: Engineering students often encounter challenges in grasping advanced concepts, such as MPPT techniques, which are crucial for optimizing the performance of PV systems. Traditional teaching methods may not fully address the learning needs of students in this complex subject area. Research Question: How does the use of a GUI-based educational tool for MPPT techniques impact the learning outcomes and attitudes of engineering students in a postgraduate course? Methodology: The effectiveness of the GUI was assessed by comparing the performance of students who used this tool with those from the previous year who did not. The study involved a semester-long deployment of the tool in the power electronic applications in power systems course, with participation from students specializing in renewable energy engineering. Findings: Preliminary findings suggest an improvement in the performance of students using the PV-MPPT Lab compared to those from the previous year. The study also indicates positive student attitudes toward the GUI tool, highlighting its potential as an effective learning aid in engineering education.