[PDF] Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things - eBooks Review

Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things


Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things
DOWNLOAD

Download Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things


Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things
DOWNLOAD
Author : Arpit Jain
language : en
Publisher: CRC Press
Release Date : 2023-09-15

Sustainable Energy Solutions With Artificial Intelligence Blockchain Technology And Internet Of Things written by Arpit Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-15 with Computers categories.


The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.



Ai Applications For Clean Energy And Sustainability


Ai Applications For Clean Energy And Sustainability
DOWNLOAD
Author : Riswandi, Budi Agus
language : en
Publisher: IGI Global
Release Date : 2024-08-16

Ai Applications For Clean Energy And Sustainability written by Riswandi, Budi Agus and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-16 with Technology & Engineering categories.


The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.



Developing Smart Sustainability With Artificial Intelligence


Developing Smart Sustainability With Artificial Intelligence
DOWNLOAD
Author : Singh, Bhupinder
language : en
Publisher: IGI Global
Release Date : 2025-01-02

Developing Smart Sustainability With Artificial Intelligence written by Singh, Bhupinder and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.


Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications. Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more.



Leveraging Ai For Innovative Sustainable Energy Solar Wind And Green Hydrogen


Leveraging Ai For Innovative Sustainable Energy Solar Wind And Green Hydrogen
DOWNLOAD
Author : Hammouch, Hind
language : en
Publisher: IGI Global
Release Date : 2025-05-15

Leveraging Ai For Innovative Sustainable Energy Solar Wind And Green Hydrogen written by Hammouch, Hind and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Technology & Engineering categories.


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.



Integrating Artificial Intelligence Into The Energy Sector


Integrating Artificial Intelligence Into The Energy Sector
DOWNLOAD
Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08

Integrating Artificial Intelligence Into The Energy Sector written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.


Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.



Artificial Intelligence Of Things For Smart Green Energy Management


Artificial Intelligence Of Things For Smart Green Energy Management
DOWNLOAD
Author : Sarah El Himer
language : en
Publisher: Springer Nature
Release Date : 2022-06-23

Artificial Intelligence Of Things For Smart Green Energy Management written by Sarah El Himer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-23 with Technology & Engineering categories.


This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.



Blockchain Technology


Blockchain Technology
DOWNLOAD
Author : Jay Daniel
language : en
Publisher: CRC Press
Release Date : 2024-12-30

Blockchain Technology written by Jay Daniel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.


Blockchain technology is considered a disruptive innovation that changes the ways companies and global processes operate. This technology has impressive powers to change this world for the better. This book examines the origins, emergence, challenges, and opportunities in the blockchain field, rethinking business strategy and readiness in the digital world and how blockchain technology would improve businesses. It provides a blockchain readiness model for managing supply chains and reviews enabling technologies such as AI, big data and organisational capabilities that support the adoption of blockchain technology. Through innovative design and simulation of a blockchain framework, it aims to enhance the traceability and transparency of business operations and supply chains. This includes developing key performance indicators for measuring the seamless integration of blockchain technology and achieving a successful outcome. It explores how blockchain technology enhances the green and sustainability aspects of businesses by comparing the sectors and discussing the potential for blockchain to promote a green and sustainable economy. This book concludes with research frontiers and blockchain applications in healthcare, international trade, and supply chain sectors. Key features Integrates both theoretical and practical perspectives Includes material that is informative for readers from diverse backgrounds and disciplines Explores blockchain technology practices and challenges in-depth across various sectors Offers up-to-date, critical insights on the design, management, and control of blockchain technology for businesses Written by experts with extensive experience in the field. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and information technology.



Methodologies Frameworks And Applications Of Machine Learning


Methodologies Frameworks And Applications Of Machine Learning
DOWNLOAD
Author : Srivastava, Pramod Kumar
language : en
Publisher: IGI Global
Release Date : 2024-03-22

Methodologies Frameworks And Applications Of Machine Learning written by Srivastava, Pramod 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 2024-03-22 with Computers categories.


Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).



Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0


Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
DOWNLOAD
Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14

Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.


This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.



Internet Of Things And Big Data Analytics For A Green Environment


Internet Of Things And Big Data Analytics For A Green Environment
DOWNLOAD
Author : Yousef Farhaoui
language : en
Publisher: CRC Press
Release Date : 2024-11-27

Internet Of Things And Big Data Analytics For A Green Environment written by Yousef Farhaoui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.


This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: • Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. • Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. • Present the I-IoT architecture, I-IoT applications, and their characteristics for a Green Environment. • Provides a systematic overview of the state-of-the-art research efforts. • Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment.