Funda Iseri

1. Iakovou, E.; Pistikopoulos, E. N.; Walzberg, J.; Iseri, F.; Iseri, H.; Chrisandina, N. J.; Vedant, S.; Nkoutche, C. Next-Generation Reverse Logistics Networks of Photovoltaic Recycling: Perspectives and Challenges. Solar Energy 2024, 271, 112329.
2. Iseri, F.; Iseri, H.; Chrisandina, N. J.; Vedant, S.; Iakovou, E.; Pistikopoulos, E. Design of a Reverse Supply Chain Network for Photovoltaic Panels. ESCAPE-34; 2024.
3. Baratsas, S.; Iseri, F.; Pistikopoulos, E. N. A Hybrid Statistical and Machine Learning Based Forecasting Framework for the Energy Sector. Computers and Chemical Engineering 2024, 108740.
4. Baratsas, S.; Iseri, F.; Pistikopoulos, E. A hybrid forecasting framework for the energy sector. ESCAPE-33; 2023; pp 539-545.
5. Aghayev, Z.; Walker, G.; Iseri, F.; Ali, M.; Pistikopoulos, E.; Beykal, B. Binary Classification of the Endocrine Disrupting Chemicals by Artificial Neural Networks. ESCAPE-33; 2023; pp 2631-2636.
6. Allen, R C.; Iseri, F.; Demirhan, C D.; Pappas, I.; Pistikopoulos, E. N Improvements for decomposition based methods utilized in the development of multi-scale energy systems. Computers & Chemical Engineering 2023, 108135.
7. Aghayev, Z.; Iseri, F.; Ali, M.; Pistikopoulos, E.; Beykal, B. Predicting the estrogenic potential of chemical contaminants through high-throughput image analysis and supervised machine learning algorithms. ACS Fall Meeting; 2023; p To be presented.

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