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

Author : B Rajanarayan Prusty
Publisher : CRC Press
ISBN 13 : 1040016111
Total Pages : 253 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications by : B Rajanarayan Prusty

Download or read book Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications written by B Rajanarayan Prusty and published by CRC Press. This book was released on 2024-05-09 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Zita A. Vale
Publisher : John Wiley & Sons
ISBN 13 : 111983404X
Total Pages : 500 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Intelligent Data Mining and Analysis in Power and Energy Systems by : Zita A. Vale

Download or read book Intelligent Data Mining and Analysis in Power and Energy Systems written by Zita A. Vale and published by John Wiley & Sons. This book was released on 2022-12-02 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Hasmat Malik
Publisher : Springer Nature
ISBN 13 : 9811660816
Total Pages : 649 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Data Analytics for Power and Energy Systems by : Hasmat Malik

Download or read book Intelligent Data Analytics for Power and Energy Systems written by Hasmat Malik and published by Springer Nature. This book was released on 2022-02-17 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Driven Smart Manufacturing Technologies and Applications

Author : Weidong Li
Publisher : Springer Nature
ISBN 13 : 3030668495
Total Pages : 218 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Driven Smart Manufacturing Technologies and Applications by : Weidong Li

Download or read book Data Driven Smart Manufacturing Technologies and Applications written by Weidong Li and published by Springer Nature. This book was released on 2021-02-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

Smart Energy Management

Author : Kaile Zhou
Publisher : Springer Nature
ISBN 13 : 9811693609
Total Pages : 317 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Smart Energy Management by : Kaile Zhou

Download or read book Smart Energy Management written by Kaile Zhou and published by Springer Nature. This book was released on 2022-02-04 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data-Analytics for Condition Monitoring

Author : Hasmat Malik
Publisher : Academic Press
ISBN 13 : 0323855113
Total Pages : 272 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Intelligent Data-Analytics for Condition Monitoring by : Hasmat Malik

Download or read book Intelligent Data-Analytics for Condition Monitoring written by Hasmat Malik and published by Academic Press. This book was released on 2021-02-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

Author : Dirk Deschrijver
Publisher :
ISBN 13 : 9783036512068
Total Pages : 201 pages
Book Rating : 4.5/5 (12 download)

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Book Synopsis Improving Energy Efficiency Through Data-Driven Modeling, Simulation and Optimization by : Dirk Deschrijver

Download or read book Improving Energy Efficiency Through Data-Driven Modeling, Simulation and Optimization written by Dirk Deschrijver and published by . This book was released on 2021 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Application in Power Systems

Author : Reza Arghandeh
Publisher : Elsevier
ISBN 13 : 0128119691
Total Pages : 480 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data Application in Power Systems by : Reza Arghandeh

Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2017-11-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Computational Intelligence to Power Systems

Author : Vassilis S. Kodogiannis
Publisher : MDPI
ISBN 13 : 3039217607
Total Pages : 116 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Applications of Computational Intelligence to Power Systems by : Vassilis S. Kodogiannis

Download or read book Applications of Computational Intelligence to Power Systems written by Vassilis S. Kodogiannis and published by MDPI. This book was released on 2019-11-08 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Predictive Modelling for Energy Management and Power Systems Engineering

Author : Ravinesh Deo
Publisher : Elsevier
ISBN 13 : 012817773X
Total Pages : 553 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Predictive Modelling for Energy Management and Power Systems Engineering by : Ravinesh Deo

Download or read book Predictive Modelling for Energy Management and Power Systems Engineering written by Ravinesh Deo and published by Elsevier. This book was released on 2020-09-30 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data-Driven Situational Awareness and Decision Making for Smart Grid Operation

Author : Lipeng Zhu
Publisher : Frontiers Media SA
ISBN 13 : 2832534716
Total Pages : 226 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Data-Driven Situational Awareness and Decision Making for Smart Grid Operation by : Lipeng Zhu

Download or read book Data-Driven Situational Awareness and Decision Making for Smart Grid Operation written by Lipeng Zhu and published by Frontiers Media SA. This book was released on 2023-10-05 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Renewable Power for Sustainable Growth

Author : Hasmat Malik
Publisher : Springer Nature
ISBN 13 : 981996749X
Total Pages : 1012 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Renewable Power for Sustainable Growth by : Hasmat Malik

Download or read book Renewable Power for Sustainable Growth written by Hasmat Malik and published by Springer Nature. This book was released on 2024-01-02 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : John Wiley & Sons
ISBN 13 : 1119786282
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2021-12-29 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics in Future Power Systems

Author : Ahmed F. Zobaa
Publisher : CRC Press
ISBN 13 : 1351601288
Total Pages : 243 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Big Data Analytics in Future Power Systems by : Ahmed F. Zobaa

Download or read book Big Data Analytics in Future Power Systems written by Ahmed F. Zobaa and published by CRC Press. This book was released on 2018-08-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Mukul Kumar
Publisher : Springer
ISBN 13 : 9811365776
Total Pages : 917 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Advances in Interdisciplinary Engineering by : Mukul Kumar

Download or read book Advances in Interdisciplinary Engineering written by Mukul Kumar and published by Springer. This book was released on 2019-05-31 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Shale Analytics

Author : Shahab D. Mohaghegh
Publisher : Springer
ISBN 13 : 3319487531
Total Pages : 287 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Shale Analytics by : Shahab D. Mohaghegh

Download or read book Shale Analytics written by Shahab D. Mohaghegh and published by Springer. This book was released on 2017-02-09 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Author : Moussa Labbadi
Publisher : Springer Nature
ISBN 13 : 303098737X
Total Pages : 244 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems by : Moussa Labbadi

Download or read book Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems written by Moussa Labbadi and published by Springer Nature. This book was released on 2022-04-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.