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.
Next Generation Artificial Intelligence Driven Smart And Renewable Energy
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Author : Provas Kumar Roy
language : en
Publisher: CRC Press
Release Date : 2025-07-03
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 2025-07-03 with Technology & Engineering categories.
This book provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on design and development of renewable energy integrated systems have been discussed.
Selected Proceedings Of The 1st International Conference On Advanced Materials For Sustainable Innovation Ic Amsi 2024 28 30 August New Delhi India
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Author : Anil Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-05-30
Selected Proceedings Of The 1st International Conference On Advanced Materials For Sustainable Innovation Ic Amsi 2024 28 30 August New Delhi India written by Anil Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Business & Economics categories.
This book presents peer-reviewed articles from the 1st International Conference on Advanced Materials for Sustainable Innovation (IC-AMSI 2024) held on Aug 28–30 in New Delhi, India. It delves into four key themes shaping the future of sustainable energy as follows: Emerging Technologies for Clean Energy Production: It explores the forefront of renewable energy research. Cutting-edge advancements in renewable sources, energy storage, and smart grids are unveiled, promising enhanced efficiency and sustainability in energy production. Integration of Sustainable Solutions in Energy Systems: Through meticulous analysis, it highlights the seamless incorporation of sustainable technologies into existing energy infrastructures. Emphasis is placed on optimizing energy systems to maximize their impact on decarbonization. Digitalization and Smart Energy Management: It investigates the transformative role of digital technologies, artificial intelligence, and smart energy management. This section illuminates how these innovations revolutionize energy consumption patterns, playing a pivotal role in minimizing carbon footprints. Policy and Regulatory Frameworks for Decarbonization: Readers gain insights into the evolving landscapes of policies and regulatory frameworks that underpin the deployment of sustainable energy technologies. The exploration of these frameworks creates a conducive environment for the effective implementation of decarbonization strategies. “Innovative Pathways” offers a multidimensional perspective, uniting technological exploration with strategic insights to guide the future of sustainable energy initiatives.
Encyclopedia Of Renewable Energy Sustainability And The Environment
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-09
Encyclopedia Of Renewable Energy Sustainability And The Environment written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Science categories.
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy
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.