Deep learning in energy conversion systems
Comprehensive Energy Systems, Elsevier, 2025
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2025
- Doi Numarası: 10.1016/b978-0-44-313219-3.00175-1
- Yayınevi: Elsevier
- Anahtar Kelimeler: Artificial intelligence, Artificial neural networks, Classification, Clustering, Deep learning, Deep neural networks, Energy, Energy conversion, Energy production, Machine learning, Regression, Renewable energy, Sustainable energy, Time series
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
This study explores the application of deep learning in energy conversion systems, focusing on optimizing performance and enhancing efficiency. The integration of artificial intelligence, particularly in energy demand forecasting, fault detection, system optimization, renewable energy integration, and energy storage systems presents innovative solutions for sustainable energy management. By providing an in-depth analysis on deep learning techniques in energy conversion, this research aims to improve system stability, reduce costs, and extend the lifespan of energy conversion systems, ultimately contributing to a cleaner and more efficient energy future.