Perovskite Solar Cells : Modeling the Future of Renewable Energy (Hardcover)

Chapter 1. An Introduction to the Solar Energy: A Step Towards Sustainability. Chapter 2. Fundamentals of Perovskite Materials. Chapter 3. Technology Advancements in Solar Cells: A Summary. Chapter 4. Recent Advances in Perovskite Tandem Solar Cells for Enhanced Solar Efficiency. Chapter 5. Modelling Techniques of Perovskite Solar Cells. Chapter 6. Modeling the Future of Renewable Energy: Machine Learning in Solar Energy Prediction. Chapter 7. Optimizing Hybrid Electric Vehicle Performance by Deep Learning for Power Distribution and Regenerative Braking Prediction in Urban Driving Conditions. Chapter 8. Optimization of Power for Solar Panel Optimizer Using Different FPGAs. Chapter 9. Advancing Solar Energy with Machine Learning, Perovskite Technology, and Smart Data Systems. Chapter 10. Machine Learning for Performance Prediction and Optimization. Chapter 11. Machine Learning Applications in Solar Energy: Predicting Performance and Efficiency. Chapter 12. A Novel Hybrid LSTM-XGBoost Model for Enhanced Solar PV Power Generation Forecasting. Chapter 13. A Comprehensive Review of Cybersecurity Challenges in Solar Grids. Chapter 14. Harnessing Machine Learning for Solar Energy Forecasting: Advancing Perovskite Solar Cells and Renewable Energy Solutions. Chapter 15. Towards Secure Solar Energy Systems: A Cyber Perspective. Chapter 16. Thermal and Power Efficient Hardware Design of Solar Panel on Reconfigurable Architecture. Chapter 17. Solar Charge Controller Design on FPGA. Chapter 18. Exploring the Role of Solar Energy in Advancing Agricultural Practices. Chapter 19. Machine Learning in Solar Energy Prediction. Chapter 20. Real-Time Solar Panel Performance Monitoring and Energy Forecasting. Chapter 21. Solar Energy to Sustainable Development Goals: A Case Study. Chapter 22. Advancements and Challenges in All-Perovskite Tandem Solar Cells: A Critical Review