Mohamed Herwan Sulaiman currently serves as an Associate Professor in the Faculty of Electrical and Electronics Engineering Technology at the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia. His research interests lie in power system optimization and swarm intelligence applications to power system studies. He has authored and co-authored more than 150 technical papers in the international journals and conferences and has been invited as a Journal reviewer for several international impact journals in the field of power systems and soft computing applications and many more. Zuriani Mustaffa is a Senior Lecturer in the Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia. She holds a PhD in Computer Science from the Universiti Utara Malaysia. Her research interests include Computational Intelligence (CI) algorithm and machine learning techniques. Her research area focuses on hybrid algorithms which involves optimization and machine learning techniques with particular attention for time series predictive analysis

• Part I: Modern Energy System Challenges: Fundamental Methodologies, Opportunities, and Solutions1. Challenges of renewable energy systems and the artificial intelligence opportunity2. Fundamentals of swarm-based algorithms3. Fundamentals of evolution-based algorithms4. Fundamentals of physics- and human-based algorithms5. Fundamentals of the Barnacles Mating Optimizer6. The Evolutionary Mating Algorithm: principles and applications7. Deep learning approaches7.i. Supervised learning with feedforward neural networks (FFNN)7.ii. Other deep learning familiesPart II: Applications for Renewable Energy Systems8. State of charge (SOC) estimation in electric vehicles using deep learning feedforward neural networks9. Hybrid of metaheuristic learning with deep learning in battery management of electric vehicles10. Optimal reactive power dispatch using the Barnacle Mating Optimizer11. Optimal power flow solutions enhanced by the Evolutionary Mating Algorithm12. Renewable energy power forecasting, enhanced by hybrid Barnacle Mating Optimizer-Evolutionary Mating Algorithm deep learning12.i. Solar power12.ii. Wind power