Explainable Artificial Intelligence And Solar Energy Integration
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Explainable Artificial Intelligence And Solar Energy Integration
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Author : Pandey, Jay Kumar
language : en
Publisher: IGI Global
Release Date : 2024-10-16
Explainable Artificial Intelligence And Solar Energy Integration written by Pandey, Jay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.
Explainable Artificial Intelligence And Solar Energy Integration
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Author : Jay Kumar Pandey
language : en
Publisher:
Release Date : 2024
Explainable Artificial Intelligence And Solar Energy Integration written by Jay Kumar Pandey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Sustainable Information Security In The Age Of Ai And Green Computing
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
The convergence of artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.
Energy Conversion Systems Based Artificial Intelligence
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Author : Mahmoud A. Mossa
language : en
Publisher: Springer Nature
Release Date : 2025-05-25
Energy Conversion Systems Based Artificial Intelligence written by Mahmoud A. Mossa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-25 with Computers categories.
This book aims to propose advanced solutions based on artificial intelligence techniques for ECS in order to increase energy efficiency, ensure the safety of the ECS, and to improve the quality of the energy supplied to the grid. The efficiency and quality of the electrical energy produced depends mainly on the structure and efficiency of the control technology developed for the Energy Conversion System (ECS). To improve the performance of ECSs, it is interesting to design control systems that emulate some functions performed by the human brain. Among these interesting functions are self-adaptation, learning, flexibility of operation and planning in the presence of large uncertainties and with minimal information. Based on these aspects, artificial intelligence (AI) techniques can be developed and applied to solve the different control problems of ECSs. For academics, professionals, practitioners, and graduate students interested in the most recent research on the application of AI in ECS, it is the ideal reference source.
Innovations In Next Generation Energy Storage Solutions
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Author : Mhadhbi, Mohsen
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Innovations In Next Generation Energy Storage Solutions written by Mhadhbi, Mohsen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Technology & Engineering categories.
Global energy demand continuously increases due to population growth and economic development. This rise creates a pressing need to explore new materials for energy harvesting and storage. New findings have been found related to synthesis, fabrication, structure, properties, performance, and technological application. Further exploration into these advancements may inform strategies and policies regarding energy harvesting, energy storage materials, and devices. Innovations in Next-Generation Energy Storage Solutions covers recent advances and trends related to the materials for energy harvesting and storage, bringing together researchers from across physics, materials science, engineering, chemistry, and related fields. Covering topics such as solar cells, hybrid energy, and electrochemical processes, this book is an excellent resource for material scientists, engineers, energy activists, professionals, researchers, scholars, academicians, and more.
Advanced Systems For Monitoring Carbon Sequestration
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Author : Pandey, Hari Mohan
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Advanced Systems For Monitoring Carbon Sequestration written by Pandey, Hari Mohan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
Advanced systems, such as artificial intelligence (AI), blockchain, and Internet of Things (IoT), have transformative potential in creating intelligent and sustainable solutions for the sequestration management of carbon emissions. Carbon sequestration is important in fighting global warming, and the optimization of carbon shifts markets to a low-carbon economy. They also have real-world applications in areas like agriculture, healthcare, energy, supply chains, and conservation. These practical applications and future trends are critical for understanding and advancing the role of technology in sustainability for a greener and more equitable future. Advanced Systems for Monitoring Carbon Sequestration encourages the development of new tools, algorithms, and platforms for energy efficiency, resource optimization, and environmental conservation. It provides evidence-based recommendations and frameworks that organizations can use to create actionable strategies. Covering topics such as carbon flux modelling, big data platforms, and security protocols, this book is an excellent resource for environmentalists, engineers, computer scientists, business owners, policymakers, researchers, academicians and more.
Computer Vision And Machine Intelligence For Renewable Energy Systems
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Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-09-20
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Technology & Engineering categories.
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
The Decentralized Hydrogen Revolution Using Artificial Intelligence Internet Of Things And Blockchain
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Author : Hossein Pourrahmani
language : en
Publisher: Elsevier
Release Date : 2025-07-01
The Decentralized Hydrogen Revolution Using Artificial Intelligence Internet Of Things And Blockchain written by Hossein Pourrahmani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.
The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain provides an essential guide to understanding the transformative potential of advanced technologies in decentralized hydrogen communities. This comprehensive resource covers the intersection of AI, IoT, and blockchain with sustainable energy, offering insights from foundational principles to advanced applications. Readers will learn about the environmental benefits of hydrogen over fossil fuels, electrolysis, and the integration of innovative technologies to enhance hydrogen production and distribution. The book delves into the role of fuel cells in clean energy, advanced AI algorithms in hydrogen production, blockchain trust in hydrogen networks, and IoT connectivity.Economic considerations, policy frameworks, and the future of decentralized hydrogen communities are also explored, making this an invaluable reference for researchers, industry professionals, policymakers, and students interested in the hydrogen economy. - Examines the intricate interplay between artificial intelligence, internet of things, and blockchain technologies and how their integration optimizes decentralized hydrogen production and distribution systems - Presents insights into cutting-edge advancements in electrolyzers and fuel cells and how AI algorithms enhance the efficiency and reliability of these critical components in decentralized hydrogen networks - Covers strategic perspectives on the economic viability and policy frameworks essential for supporting decentralized hydrogen initiatives, providing a roadmap for policymakers, industry leaders, and researchers - Discusses the role of IoT in providing real-time monitoring and control of hydrogen systems and explores how blockchain technology ensures trust, transparency, and security in hydrogen transactions and networks
Explainable Artificial Intelligence For Smart Cities
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Author : Mohamed Lahby
language : en
Publisher: CRC Press
Release Date : 2021-11-09
Explainable Artificial Intelligence For Smart Cities written by Mohamed Lahby and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Computers categories.
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.
Machine Intelligence Applications In Cyber Risk Management
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Author : Almaiah, Mohammed Amin
language : en
Publisher: IGI Global
Release Date : 2024-11-29
Machine Intelligence Applications In Cyber Risk Management written by Almaiah, Mohammed Amin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
In an era where cyber threats are increasingly sophisticated and persistent, the intersection of machine intelligence and cyber-risk management represents a pivotal frontier in the defense against malicious actors. The rapid advancements of artificial intelligence (AI) and machine learning (ML) technologies offer unprecedented capabilities for identifying, analyzing, and mitigating cyber risks. These technologies not only improve the speed and accuracy of identifying potential threats but also enable proactive and adaptive security measures. Machine Intelligence Applications in Cyber-Risk Management explores the diverse applications of machine intelligence in cyber-risk management, providing a comprehensive overview of how AI and ML algorithms are utilized for automated incident response, threat intelligence gathering, and dynamic security postures. It addresses the pressing need for innovative solutions to combat cyber threats and offer insights into the future of cybersecurity, where machine intelligence plays a crucial role in creating resilient and adaptive defense mechanisms. Covering topics such as anomy detection algorithms, malware detection, and wireless sensor networks (WSNs), this book is an excellent resource for cybersecurity professionals, researchers, academicians, security analysts, threat intelligence experts, IT managers, and more.