Next Generation Artificial Intelligence Driven Smart And Renewable Energy
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Next Generation Artificial Intelligence Driven Smart And Renewable Energy
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Author : Provas Kumar Roy
language : en
Publisher: CRC Press
Release Date : 2025-07-07
Next Generation Artificial Intelligence Driven Smart And Renewable Energy written by Provas Kumar Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Technology & Engineering categories.
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain. Key features: Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems Describes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantages Presents critical information on the technological design and policy issues that must be taken into considered while implementing a smart grid Explains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal scheduling Covers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimization The topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering.
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.
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Ai Methods For Environmental Protection And Resource Conservation
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Author : Ben Ltaifa, Monia
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Ai Methods For Environmental Protection And Resource Conservation written by Ben Ltaifa, Monia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Technology & Engineering categories.
AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world’s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists.
Enhancing Data Driven Electronics Through Iot
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Author : Das, Bhagwan
language : en
Publisher: IGI Global
Release Date : 2025-04-30
Enhancing Data Driven Electronics Through Iot written by Das, Bhagwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
In today's ever-evolving world of electronics engineering and design, professionals face the pressing challenge of effectively integrating the Internet of Things (IoT) technology into electronic devices to enhance their performance and functionality. As the demand for smarter, more connected devices continues to grow, there exists a critical need for comprehensive resources that bridge the gap between theoretical concepts and practical applications of IoT in electronics. Without such guidance, professionals risk falling behind in understanding and harnessing the transformative power of IoT technology. Enhancing Data-Driven Electronics Through IoT emerges as the definitive solution to this pervasive problem. This groundbreaking book offers scholars a roadmap to navigate the complexities of IoT integration in electronic devices, empowering them to unlock new opportunities for innovation and advancement. Through a meticulous exploration of IoT protocols, communication technologies, and data analytics techniques, this book equips scholars with the knowledge and skills needed to excel in the rapidly evolving field of electronics engineering.
Machine Learning And The Internet Of Things In Solar Power Generation
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Author : Prabha Umapathy
language : en
Publisher: CRC Press
Release Date : 2023-07-14
Machine Learning And The Internet Of Things In Solar Power Generation written by Prabha Umapathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Computers categories.
The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental. This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances. The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.
Innovations In Power Systems And Applications
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Author : Turhan, Mahmut
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Innovations In Power Systems And Applications written by Turhan, Mahmut and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Technology & Engineering categories.
The transformation of power systems is reshaping how energy is generated, distributed, and utilized, driven by the growing demand for cleaner, more efficient, and resilient solutions. Innovations in renewable energy, smart grids, energy storage, and power electronics are at the forefront of this evolution, addressing critical challenges like sustainability and energy security. The integration of advanced technologies into power systems is enabling smarter, more adaptive energy infrastructure. These advancements not only redefine the future of energy systems but also have profound societal and environmental implications, promoting sustainable development and global energy equity. Innovations in Power Systems and Applications provides a comprehensive and up-to-date resource that captures the latest advancements and trends in the field of power systems. It bridges the gap between academic research and practical applications, offering insights that are both theoretically robust and pragmatically relevant. Covering topics such as adsorption technologies, energy optimization, and smart grid efficiency, this book is an excellent resource for academicians, researchers, industry professionals, policymakers, regulatory bodies, students, educators, and more.
Artificial Intelligence Of Everything And Sustainable Development
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Author : Hamed Nozari
language : en
Publisher: Springer Nature
Release Date : 2025-07-14
Artificial Intelligence Of Everything And Sustainable Development written by Hamed Nozari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.
This book explores the intersection between transformative technologies and sustainable development. In today's world, characterized by diminishing energy sources, declining youth populations, and rapid technological advancements, the need for sustainable practices has never been more pressing. Technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and hybrid technologies have not only revolutionized daily life but also presented new challenges and opportunities. The book presents the concept of "artificial intelligence of everything," highlighting the role of these technologies in driving sustainable, green, and futuristic development. It offers conceptual and quantitative frameworks to enhance understanding and presents insight into their application. Emphasizing the importance of looking beyond the present moment, the book advocates for a future-focused approach to technology, one that prioritizes sustainability in all endeavors. As the world navigates the complexities of the modern era, this book serves as a practical and essential guide. It is designed to help readers navigate the challenges of today's world and embrace sustainable practices that will shape a better future for all.
Intelligent Solutions For Sustainable Power Grids
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Author : Ashok Kumar, L.
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Intelligent Solutions For Sustainable Power Grids written by Ashok Kumar, L. 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 Computers categories.
In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.
Human Centric Integration Of Next Generation Data Science And Blockchain Technology
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Author : Amit Kumar Tyagi
language : en
Publisher: Academic Press
Release Date : 2025-03-17
Human Centric Integration Of Next Generation Data Science And Blockchain Technology written by Amit Kumar Tyagi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management