Recently published papers

 

Aksoy, N., & Genc, V. M. I. (2025). Improving accuracy in solar power plant power generation prediction: A hybrid model proposal. Turkish Journal of Electrical Power and Energy Systems5(1), 10-18.

Aksoy, N., & Genc, I. (2025). Deep learning approaches for robust prediction of large-scale renewable energy generation: A comprehensive comparative study from a national context. Intelligent Data Analysis, 1088467X251325068.

Aygul, K., Srivastava, A. K., & Genc, I. (2025). Real-Time Transient Stability Prediction in Power Systems Using Ensemble Learning and Dynamic State Estimation. IEEE Access.

Ozturk, Atakan, Mostafa Mohammadpourfard, Yang Weng, and Istemihan Genc. “Explainable AI-Enhanced Detection of Cyber Attacks on AGC Systems with Varying RES Penetration.” In 2025 IEEE Texas Power and Energy Conference (TPEC), pp. 1-6. IEEE, 2025.

Zabia, D. E., Afghoul, H., Kraa, O., Himeur, Y., Ramadan, H. S., Genc, I., … & Mansoor, W. (2024). Experimental validation of a novel hybrid Equilibrium Slime Mould Optimization for solar photovoltaic system. Heliyon10(20).

Gürkan, C., Aksoy, N., & Genc, V. I. (2024, October). Deep Neural Network-Based Stealthy False Data Injection Attack Detection on Distributed Energy Resources Integrated Systems. In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.

Aygul, K., Mohammadpourfard, M., Kesici, M., Kucuktezcan, F., & Genc, I. (2024). Benchmark of machine learning algorithms on transient stability prediction in renewable rich power grids under cyber-attacks. Internet of Things25, 101012.

 

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