Green Machine Learning And Big Data For Smart Grids
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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 |
: 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 |
: Rajkumar Viral |
Publisher |
: CRC Press |
Total Pages |
: 220 |
Release |
: 2023-12-22 |
ISBN-10 |
: 9781003828020 |
ISBN-13 |
: 1003828027 |
Rating |
: 4/5 (20 Downloads) |
Synopsis Big Data Analytics Framework for Smart Grids by : Rajkumar Viral
The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing. •Presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids. • Describes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart meters. •Explores the role of the internet of things, artificial intelligence, and machine learning in smart grids. • Discusses edge analytics for integration of generation technologies, and decision-making approaches in detail. • Examines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworks. The text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.
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 |
: Neelu Nagpal |
Publisher |
: CRC Press |
Total Pages |
: 318 |
Release |
: 2023-09-29 |
ISBN-10 |
: 9781000963823 |
ISBN-13 |
: 1000963829 |
Rating |
: 4/5 (23 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, 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.
Author |
: Neeraj Priyadarshi |
Publisher |
: Walter de Gruyter GmbH & Co KG |
Total Pages |
: 318 |
Release |
: 2021-11-22 |
ISBN-10 |
: 9783110714043 |
ISBN-13 |
: 3110714043 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi
This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.
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.
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 |
: Bhargav Appasani |
Publisher |
: Springer Nature |
Total Pages |
: 422 |
Release |
: 2023-10-15 |
ISBN-10 |
: 9783031385063 |
ISBN-13 |
: 3031385063 |
Rating |
: 4/5 (63 Downloads) |
Synopsis Smart Grid 3.0 by : Bhargav Appasani
This book is the first on Smart Grid 3.0. The book presents literature reviews of recent computational and communication technologies and their application in the evolution of smart grids to Smart Grid 3.0. It offers new control solutions, architectures and energy management strategies that are based on artificial intelligence and deep learning techniques. The book details the hardware and software implementation of fault identification or detection based on synchrophasor data and machine learning. It also discusses blockchain architectures for smart grid applications such as electric vehicles, home automation and automatic metering infrastructure.
Author |
: Carol L. Stimmel |
Publisher |
: CRC Press |
Total Pages |
: 258 |
Release |
: 2016-04-19 |
ISBN-10 |
: 9781040074404 |
ISBN-13 |
: 1040074405 |
Rating |
: 4/5 (04 Downloads) |
Synopsis Big Data Analytics Strategies for the Smart Grid by : Carol L. Stimmel
A comprehensive data analytics program is the only way utilities will be able to meet the challenges of modern grids with operational efficiency, while reconciling the demands of greenhouse gas legislation, and establishing a meaningful return on investment from smart grid deployments. This book addresses the requirements for applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid.