Buch, Englisch, 304 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 304 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-27821-4
Verlag: Taylor & Francis Ltd
This book presents a comprehensive synthesis of how artificial intelligence can accelerate the transition to green and sustainable energy across production, transmission, and consumption. It bridges theory and real-world applications, showcasing AI techniques such as machine learning, optimization, and intelligent control to address energy challenges like renewable integration, energy efficiency, smart-grid operations, and policy formulation. The book features chapters focusing on clean energy solutions for resilient sustainability, designing energy-saving smart homes and IoT-enabled EV charging stations, advanced forecasting techniques for solar radiation and wind energy harvesting, industrial optimization of green biomass fermentation for fuel production, and opportunities and challenges in renewable energy for sustainable development. Key Features:
- Explores AI applications in solar and wind forecasting, biomass and bioenergy processes, storage, demand-side flexibility, smart homes, EV charging, and waste-to-energy pathways.
- Highlights core AI techniques, including supervised and unsupervised learning, time-series forecasting, reinforcement learning, and optimization.
- Discusses data quality, model validation, interpretability, resilience to cyber-physical threats, and alignment with markets, regulations, and lifecycle assessments.
- Includes everyday examples like smart home energy management and renewable energy forecasting for grid optimization.
Written by international experts, this book is ideal for academics, AI specialists, energy engineers, researchers, and students seeking practical insights into AI applications for green and sustainable energy.
Zielgruppe
Academic, General, Postgraduate, Undergraduate Advanced, and Undergraduate Core
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Sport | Tourismus | Freizeit Heimwerken
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Naturwissenschaften Physik Mechanik Energie
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaft: Sachbuch, Ratgeber
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
1. Optimized Hybrid Incremental Conductance-Fuzzy MPPT Controller for Enhanced Dynamic Performance in Photovoltaic Systems: A Real-Time Proteus-Arduino-MATLAB Comparative Evaluation. 2. A Comprehensive Study of Hybrid Particle Swarm Optimization Strategies for Maximum Power Point Tracking in Photovoltaic Systems. 3. Self-Adaptive PSO-Levenberg-Marquardt Hybridization: A Novel Approach for Ultra-Precise and Robust Photovoltaic Parameter Identification. 4. Experimental Analysis of Power Factor Optimization in Synchronous Motors Using Excitation Current Control. 5. Solar Irradiance Forecasting: A Systematic Literature Review. 6. The introduction of zinc into the Ag-Sn-S system and its effect on absorption behavior and supercapacitor-storage. 7. Artificial Intelligence and the Reconfiguration of Management Control Systems: An Intellectual Structure and Thematic Evolution Analysis. 8. Improvement of Backstepping Control Applied to PMSMs: Towards a High-Performance Integrated and Sensorless Strategy. 9. Next- From Detection to Prevention: A Predictive Mainte-nance Framework for Vegetation Anomaly Manage-ment in Moroccan Solar PV Installations. 10. Comparative review on PMSM current control strategies. 11. Comparative Study of Vector Control, Backstepping Control and Artificial Neural Networks: Autopilot Control of a Permanent Magnet Synchronous Motor. 12. State Feedback Control for a Class of Non-Triangular MIMO Systems. 13. Characterization of Fetal Electrocardiogram Signals Using FastICA and Wavelet Transform. 14. Adaptive Wavelet Selection for Robust Fetal ECG Characterization. 15. Smart Post-Harvest Storage by using IoT Technologies, Opportunities and Challenges. 16. Operational Optimisation of Direct Seawater Electrolysis Using Machine Learning: Implications for Green Hydrogen Supply Chains. 17. Parameter Extraction of Photovoltaic Models Using Pied Kingfisher Optimizer with Iterative Refinement. 18. Data-Driven Rotor Temperature Estimation in Permanent Magnet Synchronous Machines Using Operational Electrical and Thermal Measurements. 19. Direct Normal Irradiance Prediction Using Random Forest And XGBoost: An Hourly Meteorological Analysis. 20. XGBoost for Nonlinear Signal Analysis: A Robust EEG-Based Brain State Classification Method. 21. Impact Study of a Bio-sourced Composite on the Static Performance and Energy Yield of a 1.5 kW Wind Turbine Blade. 22. Bio-based oil coatings as sustainable alternatives to BPA-based materials for food packaging applications. 23. A Circular Approach to High-Purity Phosphoric Acid Production. 24. Waste Polyurethane Foams in Water Treatment: Modification Strategies, Adsorption–Photocatalytic Mechanisms and Modeling Perspectives. 25. A Comprehensive Systematic Review of Microgrid Research. 26. Advancing Environmental Sustainability through Integrated IoT, Machine Learning, and Renewable Energy Systems. 27. Case of Study for Optimizing Electric Vehicle Chassis Design using Artificial Intelligence. 28. Modeling selective salt rejection in reverse osmosis membranes with new materials. 29: PMSM Control Optimization using GA and PSO in RO pump for Desalination. 30: Advances in Solar Irradiance Forecasting: A Review of Physical, Machine Learning, and Deep Learning Models for Optimizing DNI and GHI Predictions. 31. Gated Recurrent Unit for predicting a renewable energy system's generation.
