Deep Learning For Power System Applications

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Deep Learning for Power System Applications

Fangxing Li,Yan Du
Deep Learning for Power System Applications Book PDF

Author : Fangxing Li,Yan Du
Publisher : Springer Nature
Page : 111 pages
File Size : 41,8 Mb
Release : 2023-12-12
Category : Technology & Engineering
ISBN : 9783031453571

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Deep Learning for Power System Applications by Fangxing Li,Yan Du Pdf

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control. Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers. Provides a history of AI in power grid operation and planning; Introduces deep learning algorithms and applications in power systems; Includes several representative case studies.

Application of Machine Learning and Deep Learning Methods to Power System Problems

Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi
Application of Machine Learning and Deep Learning Methods to Power System Problems Book PDF

Author : Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi
Publisher : Springer Nature
Page : 391 pages
File Size : 54,9 Mb
Release : 2021-11-21
Category : Technology & Engineering
ISBN : 9783030776961

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Application of Machine Learning and Deep Learning Methods to Power System Problems by Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi Pdf

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Renewable Energy and Future Power Systems

Vinod Kumar Singh,Akash Kumar Bhoi,Anurag Saxena,Ahmed F. Zobaa,Sandeep Biswal
Renewable Energy and Future Power Systems Book PDF

Author : Vinod Kumar Singh,Akash Kumar Bhoi,Anurag Saxena,Ahmed F. Zobaa,Sandeep Biswal
Publisher : Springer Nature
Page : 271 pages
File Size : 55,8 Mb
Release : 2021-03-26
Category : Technology & Engineering
ISBN : 9789813367531

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Renewable Energy and Future Power Systems by Vinod Kumar Singh,Akash Kumar Bhoi,Anurag Saxena,Ahmed F. Zobaa,Sandeep Biswal Pdf

This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.

Intelligent Renewable Energy Systems

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

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 45,8 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,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.

Automatic Learning Techniques in Power Systems

Louis A. Wehenkel
Automatic Learning Techniques in Power Systems Book PDF

Author : Louis A. Wehenkel
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461554516

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Automatic Learning Techniques in Power Systems by Louis A. Wehenkel Pdf

Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology. Its applications to engineering problems, such as those encountered in electrical power systems, are therefore challenging, while extremely promising. More and more data have become available, collected from the field by systematic archiving, or generated through computer-based simulation. To handle this explosion of data, automatic learning can be used to provide systematic approaches, without which the increasing data amounts and computer power would be of little use. Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated. This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics (both classical and modern), and from artificial intelligence (both hard and soft computing). The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems. Automatic Learning Techniques in Power Systems is a useful reference source for professionals and researchers developing automatic learning systems in the electrical power field.

Artificial Intelligence Techniques in Power Systems Operations and Analysis

Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta
Artificial Intelligence Techniques in Power Systems Operations and Analysis Book PDF

Author : Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta
Publisher : CRC Press
Page : 207 pages
File Size : 53,8 Mb
Release : 2023-08-16
Category : Computers
ISBN : 9781000921793

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Artificial Intelligence Techniques in Power Systems Operations and Analysis by Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta Pdf

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation

Deep Learning Applications and Intelligent Decision Making in Engineering

Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Deep Learning Applications and Intelligent Decision Making in Engineering Book PDF

Author : Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Publisher : IGI Global
Page : 332 pages
File Size : 53,7 Mb
Release : 2020-10-23
Category : Technology & Engineering
ISBN : 9781799821106

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Deep Learning Applications and Intelligent Decision Making in Engineering by Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi Pdf

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Machine Learning for Energy Systems

Denis Sidorov
Machine Learning for Energy Systems Book PDF

Author : Denis Sidorov
Publisher : MDPI
Page : 272 pages
File Size : 43,7 Mb
Release : 2020-12-08
Category : Technology & Engineering
ISBN : 9783039433827

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Machine Learning for Energy Systems by Denis Sidorov Pdf

This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.

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 : 52,9 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 in Power Systems

Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers
Artificial Intelligence Techniques in Power Systems Book PDF

Author : Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers
Publisher : IET
Page : 324 pages
File Size : 42,5 Mb
Release : 1997
Category : Computers
ISBN : 0852968973

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Artificial Intelligence Techniques in Power Systems by Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers Pdf

The intention of this book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies.

IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers

Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks
IBM PowerAI Deep Learning Unleashed on IBM Power Systems Servers Book PDF

Author : Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks
Publisher : IBM Redbooks
Page : 278 pages
File Size : 50,6 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9780738442945

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IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers by Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks Pdf

This IBM® Redbooks® publication is a guide about the IBM PowerAI Deep Learning solution. This book provides an introduction to artificial intelligence (AI) and deep learning (DL), IBM PowerAI, and components of IBM PowerAI, deploying IBM PowerAI, guidelines for working with data and creating models, an introduction to IBM SpectrumTM Conductor Deep Learning Impact (DLI), and case scenarios. IBM PowerAI started as a package of software distributions of many of the major DL software frameworks for model training, such as TensorFlow, Caffe, Torch, Theano, and the associated libraries, such as CUDA Deep Neural Network (cuDNN). The IBM PowerAI software is optimized for performance by using the IBM Power SystemsTM servers that are integrated with NVLink. The AI stack foundation starts with servers with accelerators. graphical processing unit (GPU) accelerators are well-suited for the compute-intensive nature of DL training, and servers with the highest CPU to GPU bandwidth, such as IBM Power Systems servers, enable the high-performance data transfer that is required for larger and more complex DL models. This publication targets technical readers, including developers, IT specialists, systems architects, brand specialist, sales team, and anyone looking for a guide about how to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure.

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Emilio Barocio Espejo,Felix Rafael Segundo Sevilla,Petr Korba
Monitoring and Control of Electrical Power Systems using Machine Learning Techniques Book PDF

Author : Emilio Barocio Espejo,Felix Rafael Segundo Sevilla,Petr Korba
Publisher : Elsevier
Page : 356 pages
File Size : 52,7 Mb
Release : 2023-01-11
Category : Technology & Engineering
ISBN : 9780323984041

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Monitoring and Control of Electrical Power Systems using Machine Learning Techniques by Emilio Barocio Espejo,Felix Rafael Segundo Sevilla,Petr Korba Pdf

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms. Covers advanced applications and solutions for monitoring and control of electrical power systems using machine learning techniques for transmission and distribution systems Provides deep insight into power quality disturbance detection and classification through machine learning, deep learning, and spatio-temporal algorithms Includes substantial online supplementary components focusing on dataset generation for machine learning training processes and open-source microgrid model simulators on GitHub

Applications of Computational Intelligence to Power Systems

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

Author : Vassilis S. Kodogiannis
Publisher : Unknown
Page : 116 pages
File Size : 51,6 Mb
Release : 2019
Category : Engineering (General). Civil engineering (General)
ISBN : 3039217615

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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.

Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

Almoataz Y. Abdelaziz,Shady Hossam Eldeen Abdel Aleem,Anamika Yadav
Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection Book PDF

Author : Almoataz Y. Abdelaziz,Shady Hossam Eldeen Abdel Aleem,Anamika Yadav
Publisher : CRC Press
Page : 395 pages
File Size : 40,5 Mb
Release : 2021-10-22
Category : Computers
ISBN : 9781000454628

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Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection by Almoataz Y. Abdelaziz,Shady Hossam Eldeen Abdel Aleem,Anamika Yadav Pdf

Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applications This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.

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 : 46,9 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.