Intelligent Data Driven Modelling And Optimization In Power And Energy Applications

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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 : 42,5 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 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 : 44,7 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 : 50,6 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-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 : 54,5 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

Smart Energy Management

Kaile Zhou,Lulu Wen
Smart Energy Management Book PDF

Author : Kaile Zhou,Lulu Wen
Publisher : Springer Nature
Page : 317 pages
File Size : 40,7 Mb
Release : 2022-02-04
Category : Business & Economics
ISBN : 9789811693601

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Smart Energy Management by Kaile Zhou,Lulu Wen Pdf

This book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management.

Improving Energy Efficiency Through Data-Driven Modeling, Simulation and Optimization

Dirk Deschrijver
Improving Energy Efficiency Through Data Driven Modeling Simulation and Optimization Book PDF

Author : Dirk Deschrijver
Publisher : Unknown
Page : 201 pages
File Size : 41,8 Mb
Release : 2021
Category : Electronic
ISBN : 3036512063

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Improving Energy Efficiency Through Data-Driven Modeling, Simulation and Optimization by Dirk Deschrijver Pdf

In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.

Predictive Modelling for Energy Management and Power Systems Engineering

Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy
Predictive Modelling for Energy Management and Power Systems Engineering Book PDF

Author : Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy
Publisher : Elsevier
Page : 553 pages
File Size : 47,7 Mb
Release : 2020-09-30
Category : Science
ISBN : 9780128177730

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Predictive Modelling for Energy Management and Power Systems Engineering by Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy Pdf

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format

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 : 45,7 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

Artificial Intelligence Techniques for a Scalable Energy Transition

Moamar Sayed-Mouchaweh
Artificial Intelligence Techniques for a Scalable Energy Transition Book PDF

Author : Moamar Sayed-Mouchaweh
Publisher : Springer Nature
Page : 383 pages
File Size : 52,5 Mb
Release : 2020-06-19
Category : Technology & Engineering
ISBN : 9783030427269

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Artificial Intelligence Techniques for a Scalable Energy Transition by Moamar Sayed-Mouchaweh Pdf

This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).

Applications of Computational Intelligence to Power Systems

Vassilis S. Kodogiannis
Applications of Computational Intelligence to Power Systems Book PDF

Author : Vassilis S. Kodogiannis
Publisher : MDPI
Page : 116 pages
File Size : 46,7 Mb
Release : 2019-11-08
Category : Technology & Engineering
ISBN : 9783039217601

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Applications of Computational Intelligence to Power Systems by Vassilis S. Kodogiannis Pdf

Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,P. Sanjeevikumar,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,P. Sanjeevikumar,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 40,7 Mb
Release : 2021-12-29
Category : Computers
ISBN : 9781119786283

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,P. Sanjeevikumar,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Renewable Power for Sustainable Growth

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

Author : Hasmat Malik,Sukumar Mishra,Y. R. Sood,Atif Iqbal,Taha Selim Ustun
Publisher : Springer Nature
Page : 1012 pages
File Size : 53,6 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.

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 : 49,8 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.

Advances in Interdisciplinary Engineering

Mukul Kumar,R. K. Pandey,Vikas Kumar
Advances in Interdisciplinary Engineering Book PDF

Author : Mukul Kumar,R. K. Pandey,Vikas Kumar
Publisher : Springer
Page : 917 pages
File Size : 41,5 Mb
Release : 2019-05-31
Category : Technology & Engineering
ISBN : 9789811365775

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Advances in Interdisciplinary Engineering by Mukul Kumar,R. K. Pandey,Vikas Kumar Pdf

This book presents select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2018). The book discusses interdisciplinary areas such as automobile engineering, mechatronics, applied and structural mechanics, bio-mechanics, biomedical instrumentation, ergonomics, biodynamic modeling, nuclear engineering, agriculture engineering, and farm machineries. The contents of the book will benefit both researchers and professionals.

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui
Modeling Optimization and Intelligent Control Techniques in Renewable Energy Systems Book PDF

Author : Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui
Publisher : Springer Nature
Page : 244 pages
File Size : 42,7 Mb
Release : 2022-04-14
Category : Technology & Engineering
ISBN : 9783030987374

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Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems by Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui Pdf

This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.