A comprehensive Edge-AI driven decision-making framework for optimized EV charging in IoT-Enabled networks
Yazarlar (2)
Dr. Öğr. Üyesi Abdulkadir GÖZÜOĞLU Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Doç. Dr. Zafer DOĞAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
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Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | INTERNET OF THINGS (Q1) | ||
| Dergi ISSN | 2543-1536 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 09-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-09-2026 |
| Cilt / Sayı / Sayfa | 39 / 102050 / 28–0 | DOI | 10.1016/j.iot.2026.102050 |
| Makale Linki | https://doi.org/10.1016/j.iot.2026.102050 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Electric vehicle (EV) adoption has increased significantly in recent years, creating a growing need for efficient, intelligent charging-station management. As demand rises, selecting the most suitable charging station becomes critical to optimizing the user experience and ensuring efficient use of the charging infrastructure. However, existing approaches primarily rely on proximity or cost, often overlooking key factors such as charging duration, waiting time, and service availability, which leads to suboptimal decision-making. To address these limitations, this study proposes a novel integrated IoT- and Edge-AI-enabled framework for EV charging station selection. The proposed system combines AHP-TOPSIS-based multi-criteria decision-making with predictive analytics to enable dynamic and data-driven recommendations. Unlike conventional approaches, deep learning models are used to predict charging frequency ... |
| Anahtar Kelimeler |
| Future smart grids | Electric vehicles (evs) | Charging stations | User preferences | Multiple attribute decision making (madm) | Analytical hierarchical process (ahp) | Preference by similarity to ideal solution | (topsis) | Personalized recommendations | Charging time optimization | Real-time data analysis | Smart charging networks | Charging station recommendation scheme | (UPCSRS) |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 1 |