Introduction to AI Techniques for Renewable Energy System [Paperback]

Chapter 1: Artificial Intelligence: A New Era in Renewable Energy Systems. Chapter 2: Role of AI in Renewable Energy Management. Chapter 3: AI-based Renewable Energy with Emerging Applications: Issues and Challenges. Chapter 4: Foundations of Machine Learning. Chapter 5: Introduction of AI techniques and Approaches. Chapter 6: A Comprehensive Overview of Hybrid Renewable Energy Systems. Chapter 7: Dynamic Modelling and Performance Analysis of Switched-Mode Controller for Hybrid Energy Systems. Chapter 8: Artificial Intelligence and Machine Learning Methods for Renewable Energy. Chapter 9: Artificial Neural Network Based Power Optimizer for Solar Photovoltaic System: An Integrated Approach with Genetic Algorithm. Chapter 10: Predictive Maintenance: AI Behind Equipment Failure Prediction. Chapter 11: AI Techniques for the Challenges in Smart Energy Systems. Chapter 12: Energy Efficiency. Chapter 13: Renewable Energy from Plant Biomass and Photosynthetic Organisms and its Operations. Chapter 14: Evolving Trends for Smart Grid Using Artificial Intelligent Techniques. Chapter 15: Introduction to AI techniques for Photovoltaic Energy Conversion System. Chapter 16: Deep Learning Based Fault Identification of Micro Grid Transformers. Chapter 17: Power Quality Improvement for Grid Integrated Renewable Energy Sources: A Comparative analysis of  UPQC Topologies. Chapter 18: AI based Energy Efficient Fault Mitigation Technique for Reliability Enhancement of Wireless Sensor Network. Chapter 19: AI Techniques Applied to Wind Energy. Chapter 20: Comparative Performance Analysis of Multi-Objective Metaheuristic Approaches for Parameter Identification of Three-Diode Modelled Photovoltaic Cells. Chapter 21: Artificial Intelligence Techniques in Smart Grid. Chapter 22: Parameter Identification of a New Reverse Two Diode Model by Moth Flame Optimizer. Chapter 23: Time-Series Energy Prediction and Improved Decision Making.