Intelligent Learning Approaches for Renewable and Sustainable Energy

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