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2021 Ieee 9th International Conference On Smart Energy Grid Engineering Sege 2021
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Book Synopsis E-Mobility in Electrical Energy Systems for Sustainability by : D., Lakshmi
Download or read book E-Mobility in Electrical Energy Systems for Sustainability written by D., Lakshmi and published by IGI Global. This book was released on 2024-03-04 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: As more and more communities around the world are turning to electric vehicles (EVs) to help the environment and save energy, we face a big challenge. The systems that deliver power to our homes and businesses are having a tough time keeping up, especially with the increasing use of EVs. This challenge is a major issue for the experts in the energy field who are working hard to figure out how to make sure our power systems stay reliable. The main goal for these experts right now is to create a strong, flexible system that can smoothly handle the integration of EVs, making sure the power flows well, the grid stays stable, and the systems remain eco-friendly. E-Mobility in Electrical Energy Systems for Sustainability is a comprehensive guide to navigating the complexities of e-mobility integration. Delving into crucial aspects such as architectural reconfiguration, restoration strategies, power quality control, and regulatory frameworks, the book provides solutions on how to address the challenges posed by the integration of EVs into distribution systems. Its examination of advanced technologies, including communication-enabled EV charging systems, battery management systems, and power grid cybersecurity measures, equips readers with the knowledge needed to start the transformative journey towards sustainable electric transportation. This book is a great resource for those seeking to understand, engage with, and contribute to the landscape of e-mobility integration.
Book Synopsis Artificial Intelligence and Machine Learning in Smart City Planning by : Vedik Basetti
Download or read book Artificial Intelligence and Machine Learning in Smart City Planning written by Vedik Basetti and published by Elsevier. This book was released on 2023-01-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. - Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities - Explains soft computing techniques for smart city applications - Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm - Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences
Book Synopsis Progress in Artificial Intelligence by : Nuno Moniz
Download or read book Progress in Artificial Intelligence written by Nuno Moniz and published by Springer Nature. This book was released on 2024-01-15 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023. The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Book Synopsis Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems by : Aparna Kumari
Download or read book Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems written by Aparna Kumari and published by Elsevier. This book was released on 2024-05-23 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. This book begins by building foundational knowledge for the reader, covering the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus the cyber-security implications). A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems will provide multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future. - Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialists - Collects the real-world experiences of global experts - Enables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids
Book Synopsis Advancements in Materials Processing Technology, Volume 1 by : Rina Sahu
Download or read book Advancements in Materials Processing Technology, Volume 1 written by Rina Sahu and published by Springer Nature. This book was released on with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Computing, Machine Learning, Robotics and Internet Technologies by : Prodipto Das
Download or read book Advanced Computing, Machine Learning, Robotics and Internet Technologies written by Prodipto Das and published by Springer Nature. This book was released on with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Security – ESORICS 2022 by : Vijayalakshmi Atluri
Download or read book Computer Security – ESORICS 2022 written by Vijayalakshmi Atluri and published by Springer Nature. This book was released on 2022-09-22 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 13554, 13555, 13556 constitutes the proceedings of the 27th European Symposium on Research in Computer Security, ESORICS 2022, which took place in September 2022. The conference took place in Copenhagen, Denmark, in a hybrid mode. The 104 full papers and 6 poster papers presented in these proceedings were carefully reviewed and selected from 562 submissions. They were organized in topical sections as follows: Part I: Blockchain security; privacy; crypto; attacks; sidechannels; Part II: Anonymity; cloud security; access control; authentication; digital signatures; IoT security; applications; Part III: Formal analysis; Web security; hardware security; multiparty computation; ML techniques; cyber-physical systems security; network and software security; posters.
Book Synopsis Computer Vision and Machine Intelligence for Renewable Energy Systems by : Ashutosh Kumar Dubey
Download or read book Computer Vision and Machine Intelligence for Renewable Energy Systems written by Ashutosh Kumar Dubey and published by Elsevier. This book was released on 2024-09-20 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Artificial Intelligence and Blockchain in Industry 4.0 by : Rohit Sharma
Download or read book Artificial Intelligence and Blockchain in Industry 4.0 written by Rohit Sharma and published by CRC Press. This book was released on 2023-10-26 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology. This book: Address the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence Provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology Discusses the evolution of blockchain and artificial intelligence technology, from fundamental theories to practical aspects Illustrates the most recent research solutions that handle the security and privacy threats while considering the resource-constrained in Industry 4.0 devices Showcases the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection The text aims to fill the gap between the theories of blockchain and its practical application in business, government, and defense among other areas. It further highlights the challenges associated with the use of blockchain for various industry 4.0 applications such as data analytics, software-defined networks, cyber-physical systems, drones, and cybersecurity. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, manufacturing engineering, and industrial engineering.
Book Synopsis Renewable Resources and Energy Management by : Satyajit Chakrabarti
Download or read book Renewable Resources and Energy Management written by Satyajit Chakrabarti and published by CRC Press. This book was released on 2023-05-25 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Conference on Energy Management & Renewable Resources has been a premium forum for presenting recent advances in renewable based energy systems, smart applications of power electronic devices in modern grid systems and AI based control over energy management areas. IEMRE2022 has been an excellent platform to collaborate and showcase high-end research giving exposure to interact with the eminent Professors, Technocrats, Scientists, Administrators and Students throughout the world by the latest innovations in the field of Renewable Energy and Energy Management with their applications in worldwide energy sectors. IEMRE 2022 was organized by Department of EEE & EE of Institute of Engineering & Management, Kolkata, India for three days in online mode with invited lectures by outstanding speakers from all over the world on emerging areas in the field of renewable energy. This book is a collection of select papers from the conference.
Book Synopsis Computational Science and Its Applications – ICCSA 2024 Workshops by : Osvaldo Gervasi
Download or read book Computational Science and Its Applications – ICCSA 2024 Workshops written by Osvaldo Gervasi and published by Springer Nature. This book was released on with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis AI-Enabled Threat Detection and Security Analysis for Industrial IoT by : Hadis Karimipour
Download or read book AI-Enabled Threat Detection and Security Analysis for Industrial IoT written by Hadis Karimipour and published by Springer Nature. This book was released on 2021-08-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.
Book Synopsis Design and Control of Power Converters 2019 by : Manuel Arias
Download or read book Design and Control of Power Converters 2019 written by Manuel Arias and published by MDPI. This book was released on 2021-07-02 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, 20 papers focused on different fields of power electronics are gathered. Approximately half of the papers are focused on different control issues and techniques, ranging from the computer-aided design of digital compensators to more specific approaches such as fuzzy or sliding control techniques. The rest of the papers are focused on the design of novel topologies. The fields in which these controls and topologies are applied are varied: MMCs, photovoltaic systems, supercapacitors and traction systems, LEDs, wireless power transfer, etc.
Book Synopsis 2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) by : IEEE Staff
Download or read book 2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) written by IEEE Staff and published by . This book was released on 2021-08-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This event will provide unique opportunity to have fruitful discussions about smart energy grid infrastructures, technologies, engineering design methods, and best practices that address industrial challenges The event includes large number of speakers and quality papers that cover energy generation, transmission and distribution infrastructures, energy storage, electrification, information and communications, and security 2021 the 9th International Conference on Smart Energy Grid Engineering will be held during August 11 13 in 2021 We look forward to welcoming you at Ontario Tech University, Oshawa, Canada
Book Synopsis Machine Learning Techniques and Analytics for Cloud Security by : Rajdeep Chakraborty
Download or read book Machine Learning Techniques and Analytics for Cloud Security written by Rajdeep Chakraborty and published by John Wiley & Sons. This book was released on 2021-12-21 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.
Book Synopsis 2017 the 5th IEEE International Conference on Smart Energy Grid Engineering (SEGE) by :
Download or read book 2017 the 5th IEEE International Conference on Smart Energy Grid Engineering (SEGE) written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems by : Mohamed Abdelaziz Mohamed
Download or read book Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems written by Mohamed Abdelaziz Mohamed and published by Springer. This book was released on 2017-08-03 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system. This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing. It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.
