Yasemin Alakoç Bozkurt

Deep Learning-Supported Hybrid Renewable Energy System Optimization

Deep learning–based surrogate models can generate sizing decisions comparable to those obtained using PSO with only a fraction of the computational effort, and provide a fast and practical alternative to conventional iterative optimization methods for component sizing in smart grid and sustainable energy planning applications.