Applications Intelligent Technologies Renewable (16 results)

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Hardcover. Condition: new. Hardcover. This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability. The book covers: Principles of sustainable development and the transition to renewable energy. AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems. Intelligent strategies for distributed power, smart grids, and demand response. Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling. Fault detection, predictive maintenance, and self-healing networks for resilient power systems. AI-driven demand-side management, load forecasting, and flexibility optimization. Methods to balance wind variability with hybrid storage and intelligent dispatch. By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems. This book presents a comprehensive and technically rigorous exploration of the integration of intelligent computational techniques into the domain of sustainable energy development. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability. The book covers: Principles of sustainable development and the transition to renewable energy. AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems. Intelligent strategies for distributed power, smart grids, and demand response. Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling. Fault detection, predictive maintenance, and self-healing networks for resilient power systems. AI-driven demand-side management, load forecasting, and flexibility optimization. Methods to balance wind variability with hybrid storage and intelligent dispatch. By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems. This book presents a comprehensive and technically rigorous exploration of the integration of intelligent computational techniques into the domain of sustainable energy development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Anuradha Tomar is an accomplished academic and researcher currently serving as an Assistant Professor in the Department of Instrumentation and Control Engineering at Netaji Subhas University of Technology (NSUT), New Delhi. With over 12 years .…

Buch. Condition: Neu. Applications of Intelligent Technologies in Renewable Energy | Anuradha Tomar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | River Publishers | EAN 9788743809845 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability. The book covers: ¿ Principles of sustainable development and the transition to renewable energy. ¿ AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems. ¿ Intelligent strategies for distributed power, smart grids, and demand response. ¿ Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling. ¿ Fault detection, predictive maintenance, and self-healing networks for resilient power systems. ¿ AI-driven demand-side management, load forecasting, and flexibility optimization. ¿ Methods to balance wind variability with hybrid storage and intelligent dispatch. By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems.…