AI-Powered Energy Storage: Technologies, Applications, and Future Directions
Editat de Andaç Batur Çolaken Limba Engleză Paperback – 2027
- ‘AI-Powered Energy Storage: Technologies, Applications, and Future Directions’ explores the transformative potential of artificial intelligence and machine learning in optimizing energy storage systems
- Offers timely, comprehensive, in-depth insights into sophisticated AI and machine learning strategies for optimizing energy storage systems, as well as addressing inefficiencies in performance prediction and integration
- Is a novel integration of artificial intelligence and energy storage technologies, addressing the critical demand for innovative solutions in a fast growing industry sets the book apart from many other works which generally focus either on AI or energy technology
- Presents a thorough review of advanced AI and machine learning techniques applicable to energy storage systems, insights into the most recent technologies and innovations in the field, and practical guidance on integrating these solutions into existing energy frameworks
Preț: 1030.41 lei
Preț vechi: 1338.19 lei
-23% Precomandă
Puncte Express: 1546
Carte nepublicată încă
Livrare prin curier în România Precomanda se expediază când titlul devine disponibil.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Specificații
ISBN-13: 9780443455520
ISBN-10: 044345552X
Pagini: 250
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 044345552X
Pagini: 250
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction to Energy Storage Technologies and AI
2. Fundamentals of Machine Learning for Energy Systems
3. AI-Driven Modeling and Optimization of Battery Systems
4. Predictive Analytics for Energy Storage Performance
5. Integration of AI with Smart Grids and Renewable Energy
6. AI in Thermal and Mechanical Energy Storage
7. AI for Hydrogen and Fuel Cell Storage Systems
8. Case Studies: AI Applications in Energy Storage
2. Fundamentals of Machine Learning for Energy Systems
3. AI-Driven Modeling and Optimization of Battery Systems
4. Predictive Analytics for Energy Storage Performance
5. Integration of AI with Smart Grids and Renewable Energy
6. AI in Thermal and Mechanical Energy Storage
7. AI for Hydrogen and Fuel Cell Storage Systems
8. Case Studies: AI Applications in Energy Storage