Download or read book Data Science and Applications for Modern Power Systems written by Le Xie and published by Springer Nature. This book was released on 2023-06-20 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive collection of research articles that utilize data—in particular large data sets—in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid.
Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2024-07-01 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application in Power Systems, Second Edition presents a thorough update of the previous volume, providing readers with step-by-step guidance in big data analytics utilization for power system diagnostics, operation, and control. Bringing back a team of global experts and drawing on fresh, emerging perspectives, this book provides cutting-edge advice for meeting today's challenges in this rapidly accelerating area of power engineering. Divided into three parts, this book begins by breaking down the big picture for electric utilities, before zooming in to examine theoretical problems and solutions in detail. Finally, the third section provides case studies and applications, demonstrating solution troubleshooting and design from a variety of perspectives and for a range of technologies. Readers will develop new strategies and techniques for leveraging data towards real-world outcomes. Including five brand new chapters on emerging technological solutions, Big Data Application in Power Systems, Second Edition remains an essential resource for the reader aiming to utilize the potential of big data in the power systems of the future. - Provides a total refresh to include the most up-to-date research, developments, and challenges - Focuses on practical techniques, including rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches for processing high dimensional, heterogeneous, and spatiotemporal data - Engages with cross-disciplinary lessons, drawing on the impact of intersectional technology including statistics, computer science, and bioinformatics - Includes five brand new chapters on hot topics, ranging from uncertainty decision-making to features, selection methods, and the opportunities provided by social network data
Download or read book Advanced Data Analytics for Power Systems written by Ali Tajer and published by Cambridge University Press. This book was released on 2021-04-08 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.
Download or read book Decision Making Applications in Modern Power Systems written by Shady Abdel Aleem and published by Academic Press. This book was released on 2019-09-21 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids. As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors. - Provides panoramic coverage of state-of-the-art energy systems, strategies and priorities in support of electrical power decision-making - Introduces innovative research outcomes, programs, algorithms and approaches to address challenges in understanding, creating and managing complex techno-socio-economic engineering systems - Includes practical training on theoretical developments and the application of advanced methods for realistic electrical energy engineering problems
Download or read book Big Data Analytics in Future Power Systems written by Ahmed F. Zobaa and published by CRC Press. This book was released on 2018-08-14 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.
Download or read book Protection of Modern Power Systems written by Janaka B. Ekanayake and published by John Wiley & Sons. This book was released on 2023-06-12 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protection of Modern Power Systems Familiarize yourself with the cutting edge of power system protection technology All electrical systems are vulnerable to faults, whether produced by damaged equipment or the cumulative breakdown of insulation. Protection from these faults is therefore an essential part of electrical engineering, and the various forms of protection that have developed constitute a central component of any course of study related to power systems. Particularly in recent decades, however, the demands of decarbonization and reduced dependency on fossil fuels have driven innovation in the field of power systems. With new systems and paradigms come new kinds of faults and new protection needs, which promise to place power systems protection once again at the forefront of research and development. Protection of Modern Power Systems offers the first classroom-ready textbook to fully incorporate developments in renewable energy and ‘smart’ power systems into its overview of the field. It begins with a comprehensive guide to the principles of power system protection, before surveying the systems and equipment used in modern protection schemes, and finally discussing new and emerging protection paradigms. It promises to become the standard text in power system protection classrooms. Protection of Modern Power Systems readers will also find: Treatment of the new faults and protection paradigms produced by the introduction of new renewable generators Discussion of SmartGrids—intelligently-controlled active systems designed to integrate renewable energy into the power system—and their protection needs Detailed exploration of Synchronized Measurement Technology and Intelligent Electronic Devices Accompanying website to include Solutions Manual for instructors Protection of Modern Power Systems is an essential resource for students, researchers, and system engineers looking for a working knowledge of this critical subject.
Download or read book Smart Cyber Physical Power Systems written by Ali Parizad and published by Wiley-IEEE Press. This book was released on 2024-12-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: ERROR
Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-11-23 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.
Download or read book Smart Energy and Electric Power Systems written by Sanjeevikumar Padmanaban and published by Elsevier. This book was released on 2022-09-17 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector. - Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding - Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies - Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand
Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-09-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.
Download or read book Machine Learning and Knowledge Discovery in Databases Applied Data Science Track written by Albert Bifet and published by Springer Nature. This book was released on with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IoT Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems written by C. Sharmeela and published by CRC Press. This book was released on 2023-01-27 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.
Download or read book New Technologies for Power System Operation and Analysis written by Huaiguang Jiang and published by Academic Press. This book was released on 2020-11-04 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets and wide-area monitoring systems and forecasting. Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power system mathematical models, advanced renewable integration and system optimizations from transmission and distribution system sides. Sections cover wind, solar, gas and petroleum, making this a useful reference for all engineers interested in power system operation. Includes codes in MATLAB® and Python Provides a complete analysis of all new and relevant power system technologies Covers the impact on existing power system operations at the advanced level, with detailed technical insights
Download or read book Uncertainties in Modern Power Systems written by Ahmed F. Zobaa and published by Academic Press. This book was released on 2020-10-26 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems. - Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems - Discusses how uncertainties will impact on the performance of power systems - Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors
Download or read book Application of Machine Learning and Deep Learning Methods to Power System Problems written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.
Download or read book Magnetic Field Measurement with Applications to Modern Power Grids written by Qi Huang and published by John Wiley & Sons. This book was released on 2019-08-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of the development, challenges and utilisation of magnetic field measurement Magnetic Field Measurement with Applications to Modern Power Grids offers an authoritative review of the development of magnetic field measurement and the application of the technology to the smart grid. The authors, noted experts in the field, present the challenges to the field of magnetics and explore the use of cutting-edge magnetic technology in the development of the smart grid. In addition, the authors discussed the applications of magnetic field measurements in substations, generations systems, transmission systems and distribution systems. The specialized applications of magnetic field measurements in these venues are explored including the typical sensors used, the field strength levels and spectral frequencies involved and the mathematics that are needed to process data measurements. The book presents the complex topic of electromagnetics in clear and understandable terms. Magnetic Field Measurement with Applications to Modern Power Grids offers researchers in the magnetic community a guide to the progress of the smart grid and helps to inspire innovation of magnetic technologies in the smart grid. The technologies of measurement are a bridge between mathematical models and application oriented practice. The book is a guide to that bridge and: Offers a comprehensive review of the development of magnetic field measurement Shows how magnetic field measurement applies to the smart grid Outlines the challenges, trends and needs for future magnetic measurement systems Includes information on the need for levels of standardisation, smart grid applications and innovative sensors Written for researchers in smart grid, power engineers, power grid companies and professionals in the measurement and test industries, Magnetic Field Measurement with Applications to Modern Power Grids is an authoritative guide that offers a clear understanding of the relationship between the magnetic field measurement and power grids.
Download or read book Artificial Intelligence in the Operation and Control of Digitalized Power Systems written by Sasan Azad and published by Springer. This book was released on 2024-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the practical application of AI-based methods in modern power systems. The complexity of current power system operations has dramatically increased due to the higher penetration of renewable energy sources and power electronic components. Therefore, providing efficient techniques is essential for secure and clean power system operation. This book focuses on the data-driven operation of the digitalized power system using machine language (ML). First, the basics of power system operation and control are presented, covering various areas of system control and operation. Next, significant advances in modern power systems and their corresponding challenges are discussed, and artificial intelligence (AI)-powered techniques, specifically machine learning, are introduced to address these issues. The book also explores AI-powered applications in the operation of power systems. These applications include various aspects of the data-driven process in both situational awareness and control areas. They are presented as practical examples indicating the implementation of an ML-based method to solve operational problems. Artificial Intelligence in the Operation and Control of Digitalized Power Systems is a valuable guide for students, researchers, and practicing engineers to AI-based techniques and real-world applications in power systems.
