Advanced Anomaly Detection Technologies And Applications In Energy Systems


Advanced Anomaly Detection Technologies And Applications In Energy Systems
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Advanced Anomaly Detection Technologies And Applications In Energy Systems


Advanced Anomaly Detection Technologies And Applications In Energy Systems
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Author : Tinghui Ouyang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-10-14

Advanced Anomaly Detection Technologies And Applications In Energy Systems written by Tinghui Ouyang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Technology & Engineering categories.




Advanced Technologies For Planning And Operation Of Prosumer Energy Systems


Advanced Technologies For Planning And Operation Of Prosumer Energy Systems
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Author : Bin Zhou
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-28

Advanced Technologies For Planning And Operation Of Prosumer Energy Systems written by Bin Zhou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Technology & Engineering categories.




Machine Learning And Computer Vision For Renewable Energy


Machine Learning And Computer Vision For Renewable Energy
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Author : Acharjya, Pinaki Pratim
language : en
Publisher: IGI Global
Release Date : 2024-05-01

Machine Learning And Computer Vision For Renewable Energy written by Acharjya, Pinaki Pratim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Technology & Engineering categories.


As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.



Artificial Intelligence And Sustainability


Artificial Intelligence And Sustainability
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Author : Mohamed Ahmed Alloghani
language : en
Publisher: Springer Nature
Release Date : 2023-11-25

Artificial Intelligence And Sustainability written by Mohamed Ahmed Alloghani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with Technology & Engineering categories.


This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.



Iot Enabled Multi Energy Systems


Iot Enabled Multi Energy Systems
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Author : Mohammadreza Daneshvar
language : en
Publisher: Elsevier
Release Date : 2023-02-20

Iot Enabled Multi Energy Systems written by Mohammadreza Daneshvar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Technology & Engineering categories.


IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. Reviews core applications of IoT technologies in grid modernization of multi-energy networks Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources



Energy And Water Development Appropriations For 1996


Energy And Water Development Appropriations For 1996
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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
language : en
Publisher:
Release Date : 1995

Energy And Water Development Appropriations For 1996 written by United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Nature categories.




Energy And Water Development Appropriations For 1996 Department Of Energy Fiscal Year 1996 Budget Justifications


Energy And Water Development Appropriations For 1996 Department Of Energy Fiscal Year 1996 Budget Justifications
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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
language : en
Publisher:
Release Date : 1995

Energy And Water Development Appropriations For 1996 Department Of Energy Fiscal Year 1996 Budget Justifications written by United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Energy development categories.




Energy And Water Development Appropriations For 1995 Department Of Energy Fiscal Year 1995 Budget Justifications


Energy And Water Development Appropriations For 1995 Department Of Energy Fiscal Year 1995 Budget Justifications
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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
language : en
Publisher:
Release Date : 1994

Energy And Water Development Appropriations For 1995 Department Of Energy Fiscal Year 1995 Budget Justifications written by United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Energy development categories.




Energy And Water Development Appropriations For 1995


Energy And Water Development Appropriations For 1995
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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
language : en
Publisher:
Release Date : 1994

Energy And Water Development Appropriations For 1995 written by United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Energy development categories.




Ai Enabled Threat Detection And Security Analysis For Industrial Iot


Ai Enabled Threat Detection And Security Analysis For Industrial Iot
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Author : Hadis Karimipour
language : en
Publisher: Springer Nature
Release Date : 2021-08-03

Ai Enabled Threat Detection And Security Analysis For Industrial Iot written by Hadis Karimipour and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-03 with Computers categories.


This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.