Smart Cities Power Electronics Renewable Energy And Internet Of Things
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Smart Cities
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Author : Ahteshamul Haque
language : en
Publisher:
Release Date : 2024
Smart Cities written by Ahteshamul Haque and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
"The text discusses the integration of power electronics, renewable energy, and Internet of things from the perspective of smart cities in a single volume. The text will be helpful for senior undergraduate, graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer science"--
Smart Cities Power Electronics Renewable Energy And Internet Of Things
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Author : Ahteshamul Haque
language : en
Publisher: CRC Press
Release Date : 2024-02-15
Smart Cities Power Electronics Renewable Energy And Internet Of Things written by Ahteshamul Haque and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Technology & Engineering categories.
This book discusses the integration of power electronics, renewable energy, and the Internet of Things (IoT) from the perspective of smart cities in a single volume. The text will be helpful for senior undergraduate, graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, and computers. The book: Covers the integration of power electronics, energy harvesting, and the IoT for smart city applications Discusses concepts of power electronics and the IoT in electric vehicles for smart cities Examines the integration of power electronics in renewable energy for smart cities Discusses important concepts of energy harvesting including solar energy harvesting, maximum power point tracking (MPPT) controllers, and switch-mode power supplies (SMPS) Explores IoT connectivity technologies such as long-term evolution (LTE), narrow band NB-IoT, long-range (LoRa), Bluetooth, and ZigBee (IEEE Standard 802.15.4) for low data rate wireless personal communication applications The text provides the knowledge about applications, technologies, and standards of power electronics, renewable energy, and IoT for smart cities. It will serve as an ideal reference text for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, civil engineering, and environmental engineering.
Retracted Book Smart Grids And Big Data Analytics For Smart Cities
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Author : Chun Sing Lai
language : en
Publisher: Springer Nature
Release Date : 2020-10-31
Retracted Book Smart Grids And Big Data Analytics For Smart Cities written by Chun Sing Lai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-31 with Technology & Engineering categories.
This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.
Optimization In Sustainable Energy
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Author : Prasenjit Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2026-07-14
Optimization In Sustainable Energy written by Prasenjit Chatterjee 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 2026-07-14 with Computers categories.
This state-of-the-art book offers cutting-edge optimization techniques and practical decision-making frameworks essential for enhancing the efficiency and reliability of sustainable energy systems, making it an invaluable resource for researchers, policymakers, and energy professionals. Optimization in Sustainable Energy: Methods and Applications brings together valuable knowledge, methods, and practical examples to help scholars, researchers, professionals, and policymakers address the growing challenges of optimizing sustainable energy. This volume covers a range of topics, including mathematical models, heuristic algorithms, renewable resource management, and energy storage optimization. Each chapter explores a different aspect of sustainable energy, providing both theoretical understanding and practical guidance. The volume explores challenges and opportunities surrounding the integration of multi-criteria decision-making techniques in energy planning, highlighting insights on environmental, economic, and social factors influencing the strategic allocation of resources. The use of evolutionary algorithms, machine learning, and metaheuristics to optimize energy storage, distribution, and optimization are also discussed. The transition towards sustainable energy is at the forefront of global priorities, driven by the urgent need to mitigate climate change, reduce carbon emissions, and enhance energy security. As countries and industries increasingly prioritize renewable sources like wind, solar, and hydroelectric power, the complexity of optimizing these systems becomes a critical challenge. Optimization in Sustainable Energy: Methods and Applications, is a comprehensive exploration of cutting-edge methodologies used to enhance the efficiency, reliability, and performance of sustainable energy systems. Audience Research scholars, academics, students, policymakers, and industry experts in mechanical engineering, electrical engineering, and energy science.
Artificial Intelligence For Power Electronics
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Author : Ahteshamul Haque
language : en
Publisher: John Wiley & Sons
Release Date : 2025-08-25
Artificial Intelligence For Power Electronics written by Ahteshamul Haque 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 2025-08-25 with Technology & Engineering categories.
Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI, the fundamentals of power electronics and the challenges the field faces in design to production, and the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in Artificial Intelligence for Power Electronics include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior Essential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.
Introduction To Internet Of Things In Civil Engineering
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Author : Ankur Bhogayata
language : en
Publisher: Springer Nature
Release Date : 2024-12-01
Introduction To Internet Of Things In Civil Engineering written by Ankur Bhogayata and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Technology & Engineering categories.
This textbook provides introductory concepts of the Internet of Things (IoT) in a concise and clear format. It presents in-depth information on the technological transformations and attributes of IoT. It also presents various examples of the applications of IoT in the field of civil engineering, both in laboratories and in the field. Various self-explanatory illustrations, figures, photographs and numerical details are included for a better understanding of concepts. A summary of contents and a list of review questions are provided at the end of each section for self-evaluation of the learnings from each chapter. A dedicated chapter for teachers is also provided which discusses pedagogy and curriculum development for the emerging field of IoT with reference to civil engineering education. The book also suggests methods of utilisation and integration of IoT concepts in education through assignments, tutorials, project works and research topics. This book is a valuable learning resource for undergraduate civil engineering students with limited exposure to computer science and engineering. It also functions as a reference resource for postgraduate students and scholars dealing with the application of IoT in civil engineering.
Unmanned Aerial Vehicles Swarm For Protecting Smart Cities
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Author : Oroos Arshi
language : en
Publisher: Springer Nature
Release Date : 2025-02-28
Unmanned Aerial Vehicles Swarm For Protecting Smart Cities written by Oroos Arshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Technology & Engineering categories.
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments. The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management. What You Will Learn Identify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilience Gain comprehensive understanding of UAV swarms by exploring diverse disciplines Apply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology Who Is This Book For This book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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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.
From Smart Grid To Internet Of Energy
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Author : Ersan Kabalci
language : en
Publisher: Academic Press
Release Date : 2019-07-30
From Smart Grid To Internet Of Energy written by Ersan Kabalci and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-30 with Technology & Engineering categories.
From Smart Grid to Internet of Energy covers novel and emerging metering and monitoring technologies, communication systems, and technologies in smart grid areas to present a valuable reference for readers from various engineering backgrounds. Considering relevant topics on the essentials of smart grids and emerging wireless communication systems, such as IEEE 802.15.4 based novel technologies, cognitive radio networks and Internet of Energy, this book offers a discussion on the emerging trends and research direction for communication technologies. The book includes research concepts and visualization of smart grids and related communication technologies, making it a useful book for practicing network engineers. - Includes global case studies and examples of communications systems integrated with smart grids - Presents literature surveys for a wide variety of smart grids, wired and wireless communication technologies, big data, privacy and security - Covers all aspects of IoE systems and discusses the differences between IoE and Smart Grids
Internet Of Energy For Smart Cities
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Author : Anish Jindal
language : en
Publisher:
Release Date : 2024-10-04
Internet Of Energy For Smart Cities written by Anish Jindal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.
The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It helps build the technical understanding for the reader.