Next Generation Artificial Intelligence Driven Smart and Renewable Energy

Edited by Provas Kumar Roy,Sunanda Hazra,Chandan Paul

ISBN13: 9781032761565

Imprint: CRC Press

Publisher: Taylor & Francis Ltd

Format: Hardback

Published: 07/07/2025

Availability: Not yet available

Description
To provide for a sustainable future, the potential synergies at the dynamic intersection of Renewable Energy (RE) incorporated with smart energy and Artificial Intelligence (AI) must be exploited. Renewable energy is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of renewable energy systems remains a challenge. Advanced optimization techniques/AI/ML plays a crucial role in implementing the latest innovative research in the field of renewable energy integrated electrical systems. This book also provides a description of the practical challenges encountered, and the solutions and future scope to be adopted. Applications of varieties of advanced optimization and AI techniques on the design and development of renewable energy integrated systems are discussed to provide new solutions in the renewable energy domain. Key features: Discussion of the modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems. Description of the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantages. Presentation of critical information on the technological design and policy issues that must be taken into consideration while implementing a smart grid. Explanation of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm based multi-objective hydrothermal scheduling. Coverage of the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi oppositional chemical reaction optimization. With the topics covered including Microgrids, Wind Power, Solar Photo Voltaic (PV), Optimal Power Flow (OPF), Grid Connected Inverter, Electric Vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, Harmonic Impedance of a Salient pole Synchronous Generator (HI), Maximum Power Point Tracking (MPPT) and advanced optimization techniques, Next Generation Artificial Intelligence Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields including electrical engineering, electronics and communications engineering, energy, and environmental engineering.
1. Renewable Energy: Opportunities, Applications, and Future Scope of Artificial Intelligence and Internet of Things. 2. Machine Learning-Enhanced Maximum Power Point Tracking for Solar Modules in Photovoltaic Systems. 3. An Alternative Approach to the Modeling of Harmonic Impedance of a Salient Pole Synchronous Generator. 4. Neuro-Fuzzy Based Optimization Techniques. 5. OPF Incorporating FACTS Tools with Renewable Energy by GWA. 6. Solving of Combined Heat and Power Economic Dispatch Problem Using Evolutionary Technic Considering Prohibited Operating Zone. 7. Integrated Modeling and Fabrication of Electric Vehicle for Multi-Criteria Framework-Based Racing Frontier Ecosystems. 8. Application of Artificial Intelligence in Wind Energy Generation. 9. Governing and Empowering Independent Power Producers in South Africa. 10. DQ Current Control Strategies for Single-Phase Grid-Connected Inverter. 11. Chaotic Quasi-Oppositional Differential Search Algorithm for Transient Stability Constraint Optimal Power Flow Problem. 12. Illuminating the Path to a Sustainable Future by Harnessing AI-Powered Renewable Energy Systems.
  • Electrical engineering
  • Automatic control engineering
  • Professional & Vocational
  • Tertiary Education (US: College)
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List Price: £89.99