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Artificial Intelligence for Renewable Energy Systems (Advances in Computational Collective Intelligence) - Tapa dura
Sinopsis
The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such re-sources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples:
- Predictive analytics for wind turbine maintenance
- Intelligent solar grid integration
- Vehicle-to-grid (V2G) technology for electric mobility
Taking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Dr. Srikanta Kumar Mohapatra is a Professor at Chitkara University, Patiala, India. He has more than 19 years of teaching and industrial experience and has published more than 80 research articles.
Dr. Abhineet Anand serves as Dean of the School of Computer Science and Engineering at Bahra University, Solan, India. He has more than 26 years of academic and administrative experience and has published more than 86 Scopus-indexed research articles.
Dr. Monit Kapoor serves as Pro Vice Chancellor and Director, Amity School of Engineering at Amity University Bengaluru, India. He has more than 30 years of academic and administrative experience and has published more than 50 Scopus-indexed research articles.
Dr. Anita Sardana earned her doctorate from J.C. Bose University of Science and Technology and is currently an Assistant Professor at Jaypee’s University of Information Technology, Solan, India.
Abhishek Kumar is a Professor and Assistant Director at Chandigarh University, Mohali, India.
Jayashree Mohanty is an Assistant Professor at Chandigarh University, Mohali, India.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Artificial Intelligence for Renewable Energy Systems (Advances in Computational Collective Intelligence)
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Auerbach Publications, 2026
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Artificial Intelligence for Renewable Energy Systems (Advances in Computational Collective Intelligence)
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Hardcover. Condición: new. Hardcover. The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such re-sources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples:Predictive analytics for wind turbine maintenanceIntelligent solar grid integrationVehicle-to-grid (V2G) technology for electric mobilityTaking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies. The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using AI to design renewable energy systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781032901039
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Artificial Intelligence for Renewable Energy Systems (Hardcover)
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ISBN 13: 9781032901039
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Hardcover. Condición: new. Hardcover. The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such re-sources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples:Predictive analytics for wind turbine maintenanceIntelligent solar grid integrationVehicle-to-grid (V2G) technology for electric mobilityTaking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies. The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using AI to design renewable energy systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032901039
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Condición: New. Dr. Srikanta Kumar Mohapatra is a Professor at Chitkara University, Patiala, India. He has more than 19 years of teaching and industrial experience and has published more than 80 research articles.Dr. Abhineet Anand serves as Dean of. Nº de ref. del artículo: 2923748516
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Artificial Intelligence for Renewable Energy Systems (Hardcover)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 1032901039
ISBN 13: 9781032901039
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Hardcover. Condición: new. Hardcover. The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such re-sources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples:Predictive analytics for wind turbine maintenanceIntelligent solar grid integrationVehicle-to-grid (V2G) technology for electric mobilityTaking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies. The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using AI to design renewable energy systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781032901039
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Artificial Intelligence for Renewable Energy Systems
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Buch. Condición: Neu. Neuware - The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such re-sources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples: - Predictive analytics for wind turbine maintenance - Intelligent solar grid integration - Vehicle-to-grid (V2G) technology for electric mobility Taking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies. Nº de ref. del artículo: 9781032901039
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