Intelligent Data Analytics For Power And Energy Systems

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Intelligent Data Analytics for Power and Energy Systems

Author : Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari
Publisher : Springer Nature
Page : 649 pages
File Size : 48,8 Mb
Release : 2022-02-17
Category : Technology & Engineering
ISBN : 9789811660818

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Intelligent Data Analytics for Power and Energy Systems by Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari Pdf

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.

Intelligent Data Mining and Analysis in Power and Energy Systems

Author : Zita A. Vale,Tiago Pinto,Michael Negnevitsky,Ganesh Kumar Venayagamoorthy
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 53,9 Mb
Release : 2022-12-02
Category : Technology & Engineering
ISBN : 9781119834045

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Intelligent Data Mining and Analysis in Power and Energy Systems by Zita A. Vale,Tiago Pinto,Michael Negnevitsky,Ganesh Kumar Venayagamoorthy Pdf

Intelligent Data Mining and Analysis in Power and Energy Systems A hands-on and current review of data mining and analysis and their applications to power and energy systems In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You’ll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies. The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides: A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods In-depth explorations of clustering, classification, and forecasting Intensive discussions of machine learning applications in power and energy systems Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.

Intelligent Data-Analytics for Condition Monitoring

Author : Hasmat Malik,Nuzhat Fatema,Atif Iqbal
Publisher : Academic Press
Page : 272 pages
File Size : 55,6 Mb
Release : 2021-02-24
Category : Technology & Engineering
ISBN : 9780323855112

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Intelligent Data-Analytics for Condition Monitoring by Hasmat Malik,Nuzhat Fatema,Atif Iqbal Pdf

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

Big Data Analytics in Future Power Systems

Author : Ahmed F. Zobaa,Trevor J. Bihl
Publisher : CRC Press
Page : 243 pages
File Size : 46,6 Mb
Release : 2018-08-14
Category : Science
ISBN : 9781351601283

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Big Data Analytics in Future Power Systems by Ahmed F. Zobaa,Trevor J. Bihl Pdf

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.

Advanced Data Analytics for Power Systems

Author : Ali Tajer,Samir M. Perlaza,H. Vincent Poor
Publisher : Cambridge University Press
Page : 601 pages
File Size : 53,6 Mb
Release : 2021-04-08
Category : Computers
ISBN : 9781108494755

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Advanced Data Analytics for Power Systems by Ali Tajer,Samir M. Perlaza,H. Vincent Poor Pdf

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.

Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications

Author : B Rajanarayan Prusty,Neeraj Gupta,Kishore Bingi,Rakesh Sehgal
Publisher : CRC Press
Page : 253 pages
File Size : 54,6 Mb
Release : 2024-05-09
Category : Technology & Engineering
ISBN : 9781040016114

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Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications by B Rajanarayan Prusty,Neeraj Gupta,Kishore Bingi,Rakesh Sehgal Pdf

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include: an exclusive section on essential preprocessing approaches for the data-driven model a detailed overview of data-driven model applications to power system planning and operational activities specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 250 pages
File Size : 42,7 Mb
Release : 2023-11-23
Category : Computers
ISBN : 9781000963977

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Applications of Big Data and Artificial Intelligence in Smart Energy Systems by Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi Pdf

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.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 318 pages
File Size : 54,5 Mb
Release : 2023-09-29
Category : Science
ISBN : 9781000963823

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Applications of Big Data and Artificial Intelligence in Smart Energy Systems by Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi Pdf

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.

Big Data Application in Power Systems

Author : Reza Arghandeh,Yuxun Zhou
Publisher : Elsevier
Page : 480 pages
File Size : 44,5 Mb
Release : 2017-11-27
Category : Science
ISBN : 9780128119693

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Big Data Application in Power Systems by Reza Arghandeh,Yuxun Zhou Pdf

Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data

Renewable Power for Sustainable Growth

Author : Hasmat Malik,Sukumar Mishra,Y. R. Sood,Atif Iqbal,Taha Selim Ustun
Publisher : Springer Nature
Page : 1012 pages
File Size : 44,9 Mb
Release : 2024-01-02
Category : Technology & Engineering
ISBN : 9789819967490

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Renewable Power for Sustainable Growth by Hasmat Malik,Sukumar Mishra,Y. R. Sood,Atif Iqbal,Taha Selim Ustun Pdf

The proceedings is a collection of papers presented at International Conference on Renewal Power (ICRP 2023), held during 28 – 29 March 2023 in Mewat Engineering College, Nuh, India. The book covers different topics of renewal energy sources in modern power systems. The volume focusses on smart grid technologies and applications, renewable power systems including solar PV, solar thermal, wind, power generation, transmission and distribution, transportation electrification and automotive technologies, power electronics and applications in renewable power system, energy management and control system, energy storage in modern power system, active distribution network, artificial intelligence in renewable power systems, and cyber physical systems and internet of things in smart grid and renewable power.

Intelligent Data Engineering and Analytics

Author : Vikrant Bhateja,Xin-She Yang,Jerry Chun-Wei Lin,Ranjita Das
Publisher : Springer Nature
Page : 627 pages
File Size : 45,6 Mb
Release : 2023-02-23
Category : Technology & Engineering
ISBN : 9789811975240

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Intelligent Data Engineering and Analytics by Vikrant Bhateja,Xin-She Yang,Jerry Chun-Wei Lin,Ranjita Das Pdf

The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.

Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

Author : Anuradha Tomar,Hasmat Malik,Pramod Kumar,Atif Iqbal
Publisher : Springer Nature
Page : 774 pages
File Size : 46,9 Mb
Release : 2022-09-17
Category : Technology & Engineering
ISBN : 9789811928284

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Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication by Anuradha Tomar,Hasmat Malik,Pramod Kumar,Atif Iqbal Pdf

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Author : Neetika Kaushal Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Padmanaban Sanjeevikumar,D. Lakshmi
Publisher : Unknown
Page : 0 pages
File Size : 44,8 Mb
Release : 2023
Category : SCIENCE
ISBN : 100344086X

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Applications of Big Data and Artificial Intelligence in Smart Energy Systems by Neetika Kaushal Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Padmanaban Sanjeevikumar,D. Lakshmi Pdf

In the era of propelling traditional energy systems to evolve towards smart energy systems, 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 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 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.

Computational Intelligent Data Analysis for Sustainable Development

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 54,9 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895955

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Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff Pdf

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Big Data Analytics Framework for Smart Grids

Author : Rajkumar Viral,Divya Asija,Surender Salkuti
Publisher : CRC Press
Page : 220 pages
File Size : 42,8 Mb
Release : 2023-12-22
Category : Computers
ISBN : 9781003828020

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Big Data Analytics Framework for Smart Grids by Rajkumar Viral,Divya Asija,Surender Salkuti Pdf

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.