Intelligent Data Mining And Analysis In Power And Energy Systems

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Intelligent Data Mining and Analysis in Power and Energy Systems

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

Author : Zita A. Vale,Tiago Pinto,Michael Negnevitsky,Ganesh Kumar Venayagamoorthy
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 48,8 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 Power and Energy Systems

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

Author : Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari
Publisher : Springer Nature
Page : 649 pages
File Size : 54,9 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

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

Author : Zita A. Vale,Tiago Pinto,Michael Negnevitsky,Ganesh Kumar Venayagamoorthy
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 53,6 Mb
Release : 2022-12-13
Category : Technology & Engineering
ISBN : 9781119834021

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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.

Big Data Analytics in Future Power Systems

Ahmed F. Zobaa,Trevor J. Bihl
Big Data Analytics in Future Power Systems Book PDF

Author : Ahmed F. Zobaa,Trevor J. Bihl
Publisher : CRC Press
Page : 243 pages
File Size : 53,9 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.

Big Data Application in Power Systems

Reza Arghandeh,Yuxun Zhou
Big Data Application in Power Systems Book PDF

Author : Reza Arghandeh,Yuxun Zhou
Publisher : Elsevier
Page : 480 pages
File Size : 51,6 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

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 250 pages
File Size : 40,9 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.

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

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

Author : B Rajanarayan Prusty,Neeraj Gupta,Kishore Bingi,Rakesh Sehgal
Publisher : CRC Press
Page : 253 pages
File Size : 50,8 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.

Intelligent Data-Analytics for Condition Monitoring

Hasmat Malik,Nuzhat Fatema,Atif Iqbal
Intelligent Data Analytics for Condition Monitoring Book PDF

Author : Hasmat Malik,Nuzhat Fatema,Atif Iqbal
Publisher : Academic Press
Page : 272 pages
File Size : 48,8 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

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 318 pages
File Size : 40,5 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.

Computational Intelligent Data Analysis for Sustainable Development

Ting Yu,Nitesh Chawla,Simeon Simoff
Computational Intelligent Data Analysis for Sustainable Development Book PDF

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 47,8 Mb
Release : 2013-04-04
Category : Business & Economics
ISBN : 9781439895948

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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 presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods, including mathematical optimization, machine learning, signal processing, and temporal and spatial analysis, for quantifying and describing sustainable development problems. With a focus on integrated sustainability analysis, the book presents a large-scale quadratic programming algorithm to expand high-resolution input-output tables from the national scale to the multinational scale to measure the carbon footprint of the entire trade supply chain. It also quantifies the error or dispersion between different reclassification and aggregation schemas, revealing that aggregation errors have a high concentration over specific regions and sectors. The book summarizes the latest contributions of the data analysis community to climate change research. A profuse amount of climate data of various types is available, providing a rich and fertile playground for future data mining and machine learning research. The book also pays special attention to several critical challenges in the science of climate extremes that are not handled by the current generation of climate models. It discusses potential conceptual and methodological directions to build a close integration between physical understanding, or physics-based modeling, and data-driven insights. The book then covers the conservation of species and ecologically valuable land. A case study on the Pennsylvania Dirt and Gravel Roads Program demonstrates that multiple-objective linear programming is a more versatile and efficient approach than the widely used benefit targeting selection process. Moving on to renewable energy and the need for smart grids, the book explores how the ongoing transformation to a sustainable energy system of renewable sources leads to a paradigm shift from demand-driven generation to generation-driven demand. It shows how to maximize renewable energy as electricity by building a supergrid or mixing renewable sources with demand management and storage. It also presents intelligent data analysis for real-time detection of disruptive events from power system frequency data collected using an existing Internet-based frequency monitoring network as well as evaluates a set of computationally intelligent techniques for long-term wind resource assessment. In addition, the book gives an example of how temporal and spatial data analysis tools are used to gather knowledge about behavioral data and address important social problems such as criminal offenses. It also applies constraint logic programming to a planning problem: the environmental and social impact assessment of the regional energy plan of the Emilia-Romagna region of Italy. Sustainable development problems, such as global warming, resource shortages, global species loss, and pollution, push researchers to create powerful data analysis approaches that analysts can then use to gain insight into these issues to support rational decision making. This volume shows both the data analysis and sustainable development communities how to use intelligent data analysis tools to address practical problems and encourages researchers to develop better methods.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Artificial Intelligence and Internet of Things for Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Publisher : Walter de Gruyter GmbH & Co KG
Page : 318 pages
File Size : 51,8 Mb
Release : 2021-11-22
Category : Computers
ISBN : 9783110714043

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Artificial Intelligence and Internet of Things for Renewable Energy Systems by Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal Pdf

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.

Emerging Techniques in Power System Analysis

Zhaoyang Dong,Pei Zhang,Jian Ma,Junhua Zhao,Mohsin Ali,Ke Meng,Xia Yin
Emerging Techniques in Power System Analysis Book PDF

Author : Zhaoyang Dong,Pei Zhang,Jian Ma,Junhua Zhao,Mohsin Ali,Ke Meng,Xia Yin
Publisher : Springer Science & Business Media
Page : 202 pages
File Size : 49,8 Mb
Release : 2010-06-01
Category : Technology & Engineering
ISBN : 9783642042829

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Emerging Techniques in Power System Analysis by Zhaoyang Dong,Pei Zhang,Jian Ma,Junhua Zhao,Mohsin Ali,Ke Meng,Xia Yin Pdf

"Emerging Techniques in Power System Analysis" identifies the new challenges facing the power industry following the deregulation. The book presents emerging techniques including data mining, grid computing, probabilistic methods, phasor measurement unit (PMU) and how to apply those techniques to solving the technical challenges. The book is intended for engineers and managers in the power industry, as well as power engineering researchers and graduate students. Zhaoyang Dong is an associate professor at the Department of Electrical Engineering, The Hong Kong Polytechnic University, China. Pei Zhang is program manager at the Electric Power Research Institute (EPRI), USA.

Data Analytics for Renewable Energy Integration

Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Data Analytics for Renewable Energy Integration Book PDF

Author : Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Publisher : Springer
Page : 137 pages
File Size : 42,9 Mb
Release : 2017-01-18
Category : Computers
ISBN : 9783319509471

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Data Analytics for Renewable Energy Integration by Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick Pdf

This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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

Author : Neetika Kaushal Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Padmanaban Sanjeevikumar,D. Lakshmi
Publisher : Unknown
Page : 0 pages
File Size : 44,5 Mb
Release : 2023
Category : Artificial intelligence
ISBN : 8770228264

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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.

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

Wei Lee Woon,Zeyar Aung,Alejandro Catalina Feliú,Stuart Madnick
Data Analytics for Renewable Energy Integration Technologies Systems and Society Book PDF

Author : Wei Lee Woon,Zeyar Aung,Alejandro Catalina Feliú,Stuart Madnick
Publisher : Springer
Page : 167 pages
File Size : 41,6 Mb
Release : 2018-11-16
Category : Computers
ISBN : 9783030043032

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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society by Wei Lee Woon,Zeyar Aung,Alejandro Catalina Feliú,Stuart Madnick Pdf

This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.