Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid
Download Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid full books in PDF, epub, and Kindle. Read online free Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Xin Ning |
Publisher |
: Frontiers Media SA |
Total Pages |
: 273 |
Release |
: 2023-11-23 |
ISBN-10 |
: 9782832539569 |
ISBN-13 |
: 2832539564 |
Rating |
: 4/5 (69 Downloads) |
Synopsis Advances in Artificial Intelligence Application in Data Analysis and Control of Smart Grid by : Xin Ning
Smart grid (SG) is considered a form of intelligent system that allows the electric grid to perform its functions efficiently. The SG is a network that allows for the flow of electrical energy and data, where the data is used to make intelligent decisions in the operation of the electric grid. Artificial intelligence (AI) techniques, such as expert system (ES), Machine Learning (ML), and deep Learning (DL) have brought an advancing frontier in power electronics and power engineering with their powerful data processing capabilities. The SG relies on the flow of data to make its intelligent control; therefore, AI technology is a perfect fit for the SG. The application of AI technology in the SG has the potential to improve the intelligence of the SG. This research topic is focused on ways of improving the data analysis and control of SG by leveraging technologies. Manuscripts with the progress made in solving a range of miscellaneous and critical problems in SG by leveraging AI methods such as ES, ML, and DL methods are welcome. Reviews and original research that describe the latest developments in this field are considered for publication in this research topic. The scope of this Research Topic will include the following themes, but are not limited to: 1. Data-driven and artificial intelligence approaches to enhancing flexibility and resilience of SG. 2. Expert system, Machine Learning and Deep Learning, reinforcement learning and transfer learning for applications in SG. 3. AI for development in ensuring high reliability and stability of electric power system with high penetration of renewable energy. 4. AI for studies in operation protection, integrated planning, and control of SG systems. 5. AI for development in diagnostics and diagnostics for SG. 6. Health monitoring of a modern wind generation system using an adaptive neuro-fuzzy system. 7. Space vector fault pattern identification of a smart grid subsystem by neural mapping. 8. Control techniques, mathematical programming methods, optimization techniques and metaheuristics applied in SG. 9. AI and optimization techniques for green energy and carbon footprint. 10. Novel applications of AI-based smart grids in smart cities, smart transportation, smart healthcare, and smart manufacturing.
Author |
: Devendra Kumar Sharma |
Publisher |
: Springer Nature |
Total Pages |
: 466 |
Release |
: 2024-01-03 |
ISBN-10 |
: 9783031460920 |
ISBN-13 |
: 3031460928 |
Rating |
: 4/5 (20 Downloads) |
Synopsis Data Analytics for Smart Grids Applications—A Key to Smart City Development by : Devendra Kumar Sharma
This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
Author |
: Reza Arghandeh |
Publisher |
: Elsevier |
Total Pages |
: 450 |
Release |
: 2024-07-01 |
ISBN-10 |
: 9780443219511 |
ISBN-13 |
: 0443219516 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Big Data Application in Power Systems by : Reza Arghandeh
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
Author |
: Hasmat Malik |
Publisher |
: Academic Press |
Total Pages |
: 272 |
Release |
: 2021-02-24 |
ISBN-10 |
: 9780323855112 |
ISBN-13 |
: 0323855113 |
Rating |
: 4/5 (12 Downloads) |
Synopsis Intelligent Data-Analytics for Condition Monitoring by : Hasmat Malik
Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems. Features deep learning methodologies in smart grid deployment and maintenance applications Includes coding for intelligent data analytics for each application Covers advanced problems and solutions of smart grids using advance data analytic techniques
Author |
: M. Jaya Bharata Reddy |
Publisher |
: Springer Nature |
Total Pages |
: 793 |
Release |
: 2021-04-21 |
ISBN-10 |
: 9789811576751 |
ISBN-13 |
: 9811576750 |
Rating |
: 4/5 (51 Downloads) |
Synopsis Advances in Smart Grid Automation and Industry 4.0 by : M. Jaya Bharata Reddy
This book comprises select proceedings of the International Conference on Emerging Trends for Smart Grid Automation and Industry 4.0 (ICETSGAI4.0 2019). The contents discuss the recent trends in smart grid technology and related applications. The topics covered include data analytics for smart grid operation and control, integrated power generation technologies, green technologies as well as advances in microgrid operation and planning. The book highlights the enhancement in technology in the field of smart grids, and how IoT, big data, robotics and automation, artificial intelligence, and wide area measurement have become prerequisites for the fourth industrial revolution, also known as Industry 4.0. The book can be a valuable reference for researchers and professionals interested in smart grid automation incorporating features of Industry 4.0.
Author |
: V. Indragandhi |
Publisher |
: Elsevier |
Total Pages |
: 0 |
Release |
: 2024-11-01 |
ISBN-10 |
: 0443289514 |
ISBN-13 |
: 9780443289514 |
Rating |
: 4/5 (14 Downloads) |
Synopsis Green Machine Learning and Big Data for Smart Grids by : V. Indragandhi
Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green” machine learning and the essential technologies for utilising data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests. Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation. Part of the cutting-edge series 'Advances in Intelligent Energy Systems', 'Green Machine Learning and Big Data for Smart Grids' provides researchers, students, and industry practitioners with an understanding of the complex interactions and opportunities between data science and sustainable energy systems.
Author |
: Mehdi Rahmani-Andebili |
Publisher |
: Springer Nature |
Total Pages |
: 140 |
Release |
: 2022-03-26 |
ISBN-10 |
: 9783030945220 |
ISBN-13 |
: 3030945227 |
Rating |
: 4/5 (20 Downloads) |
Synopsis Applications of Artificial Intelligence in Planning and Operation of Smart Grids by : Mehdi Rahmani-Andebili
Artificial intelligence (AI) is going to play a significant role in smart grid planning and operation, especially in solving its real-time problems, as it is fast, adaptive, robust, and less dependent on the system’s accurate model and parameters. This collection covers research advancements in the application of AI in the planning and operation of smart grids. A global group of researchers and scholars present innovative approaches to AI-based smart grid planning and operation, cover the theoretical concepts and experimental results of the application of AI-based techniques, and apply these techniques to deal with smart grid issues. Applications of Artificial Intelligence in Planning and Operation of Smart Grids is an ideal resource for researchers on the theory and application of AI, practicing engineers working in electrical power engineering, and students in advanced graduate-level courses.
Author |
: Qiuye Sun |
Publisher |
: Frontiers Media SA |
Total Pages |
: 195 |
Release |
: 2022-05-11 |
ISBN-10 |
: 9782889761838 |
ISBN-13 |
: 2889761835 |
Rating |
: 4/5 (38 Downloads) |
Synopsis Applications of Advanced Control and Artificial Intelligence in Smart Grids by : Qiuye Sun
Author |
: Hasmat Malik |
Publisher |
: Springer Nature |
Total Pages |
: 649 |
Release |
: 2022-02-17 |
ISBN-10 |
: 9789811660818 |
ISBN-13 |
: 9811660816 |
Rating |
: 4/5 (18 Downloads) |
Synopsis Intelligent Data Analytics for Power and Energy Systems by : Hasmat Malik
This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.
Author |
: Neelu Nagpal |
Publisher |
: CRC Press |
Total Pages |
: 250 |
Release |
: 2023-11-23 |
ISBN-10 |
: 9781000963977 |
ISBN-13 |
: 1000963977 |
Rating |
: 4/5 (77 Downloads) |
Synopsis Applications of Big Data and Artificial Intelligence in Smart Energy Systems by : Neelu Nagpal
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.