Iot Machine Learning And Blockchain Technologies For Renewable Energy And Modern Hybrid Power Systems


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IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems


IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems

Author: C. Sharmeela

language: en

Publisher: CRC Press

Release Date: 2023-01-27


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This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.

IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems


IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems

Author: C. Sharmeela

language: en

Publisher:

Release Date: 2022


DOWNLOAD





This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.

Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen


Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen

Author: Hammouch, Hind

language: en

Publisher: IGI Global

Release Date: 2025-05-15


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Artificial intelligence (AI) and intelligent technologies play a vital role in transforming the energy sector, which is key to delivering lower carbon footprints combined with increased levels of security. AI-driven innovations in solar, wind energy, green hydrogen generation increase efficiency to achieve further sustainability. Furthermore, the disruptive impact of AI-based solutions in the energy sector is informative for initiating more sustainable industrial and commercial purposes and practices worldwide. Thus, AI-enabled systems and their capabilities in generation, distribution of energy and consumption can contribute to helping build more robust and greener infrastructures for our resources. Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen offers practical steps for incorporating green hydrogen into established energy systems that can help to realize net-zero emissions targets. It inspires innovation by detailing the experiences of real-life case studies and presenting forward-looking viewpoints that make collaboration between various sectors possible, all towards embracing renewable energy solutions on a global scale. Covering topics such as hydrogen power, marketing strategies, and public education campaigns, this book is an excellent resource for environmental advocates, sustainability practitioners, policymakers, manufacturers, industry leaders, professionals, researchers, scholars, academicians, and more.