Date : 10.06.2025
Hour: 11.00
Student Name & ID: Hasan FİDAN – 245105115
Supervisor: Asst. Prof. Yunus YALMAN
Topic: Deep Learning Approaches in Energy Systems
Link or Room: A417
Abstract:
‘Artificial intelligence, particularly deep learning and hybrid models, is increasingly employed in energy systems for accurate forecasting and fault detection. Convolutional neural networks have proven effective in identifying defects such as cracks and soiling in photovoltaic panels, supporting predictive maintenance and enhancing the efficiency and reliability of renewable energy infrastructures.’
