Section I: Introduction to intelligent learning approaches for renewable and sustainable energy 1. Artificial Intelligence-based sustainability in energy 2. Machine-learning-based sustainability in energy 3. Transforming the grid: AI, ML, Renewable, Storage, EVs, and Prosumers 4. Role of intelligent techniques in large-scale integration of renewable energy 5. Variability of renewable energy generation and flexibility initiatives
Section II: Applications of intelligence learning approaches for renewable and sustainable energy 6. Intelligent learning models for renewable energy forecasting 7. Intelligent learning models for balancing supply and demand 8. Intelligent learning analysis for a flexibility energy approach towards renewable energy integration 9. Intelligent learning analysis for energy management 10. Intelligent learning approaches for demand-side controller for BIPVs integrated buildings 11. Intelligent learning approaches for single and multi-objective optimization methodology 12. Intelligent learning approaches for optimization of integrated energy systems