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Talip Çay

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Open access Aug 2026

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.

Yasemin Alakoç Bozkurt, Cemil Altın, Talip Çay · 1 citation

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