Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications PDF Download

Author: Chunwei Cai
Publisher: Springer Nature
ISBN: 9819708737
Category :
Languages : en
Pages : 748

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Book Description

Author: Nur Syazreen Ahmad
Publisher: Springer Nature
ISBN: 981999005X
Category :
Languages : en
Pages : 555

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Author: Fengchun Sun
Publisher: Springer Nature
ISBN: 9819910277
Category : Technology & Engineering
Languages : en
Pages : 1344

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Book Description
This book includes original, peer-reviewed research papers from the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022), held online, from December 3 to December 4, 2022. The topics covered include but are not limited to energy storage, power and energy systems, electrified/intelligent transportation, batteries and management, and power electronics. The papers share the latest findings in energy storage and intelligent vehicles, making the book a valuable asset for researchers, engineers, university students, etc.

Author: Ernst Wolfgang Stautner
Publisher: Springer Nature
ISBN: 3031714083
Category :
Languages : en
Pages : 349

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Book Description

Author: IEEE Staff
Publisher:
ISBN: 9781665434492
Category :
Languages : en
Pages :

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Book Description
An international forum for presentation and discussion of the state of the art technology in Energy Electronics and related topics

Author: Sanjeevikumar Padmanaban
Publisher: John Wiley & Sons
ISBN: 1119893968
Category : Science
Languages : en
Pages : 404

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Book Description
Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.

Author: Cungang Hu
Publisher: Springer Nature
ISBN: 9819943345
Category : Technology & Engineering
Languages : en
Pages : 1326

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Book Description
This book will be a collection of the conference manuscripts presented at the 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering covering new and renewable energy, electrical and power engineering. It is expected to report the latest technological developments in the fields developed by academic researchers and industrial practitioners. The application and dissemination of these technologies will benefit the research community, as new research directions are becoming increasingly interdisciplinary, requiring researchers from different research areas to come together and share ideas. It will also benefit the electrical engineering and energy industry, as we are now experiencing a new wave of industrial revolution, i.e. the electrification, intelligentisation and digitalisation of our transport, manufacturing processes and way of thinking.

Author: Jaydeep Saha
Publisher: Springer Nature
ISBN: 9811949026
Category : Technology & Engineering
Languages : en
Pages : 295

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Book Description
This book presents novel contributions in the development of solid-state-transformer (SST) technology both for medium-voltage (MV) and low-voltage (LV) utility grid interfaces, which can potentially augment the grid modernization process in the evolving power system paradigm. For the MV interface, a single-stage AC-DC SST submodule topology has been proposed, and its modulation and soft-switching possibilities are analysed, experimentally validated and adequately benchmarked. A control scheme with power balance capability among submodules is developed for MV grid-connected single-stage AC-DC SST for smooth operation under inevitable parameter drift scenario, and experimental validation shows excellent performance under drastic load change conditions. A novel machine learning-aided multi-objective design optimization framework for grid-connected SST is developed and experimentally validated, which equips a power electronics design engineer with meagre computational resources to find out the most optimal SST design in a convenient time-frame. This book has also contributed towards the development of dual-active-bridge (DAB)-type and non-DAB-type LV grid-interfaced isolated AC-DC converters by providing solutions to specific topology and modulation-related shortcomings in these two types of topologies. A comprehensive comparison of the DAB and non-DAB-type LVAC-LVDC converters reveals the superiority of DAB-type conversion strategy.

Author: Ahteshamul Haque
Publisher: John Wiley & Sons
ISBN: 1119873754
Category : Technology & Engineering
Languages : en
Pages : 356

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Book Description
A thorough and authoritative discussion of how to use fault analysis to prevent grid failures In Fault Analysis and its Impact on Grid-Connected Photovoltaic Systems Performance, a team of distinguished engineers delivers an insightful and concise analysis of how engineers can use fault analysis to estimate and ensure reliability in grid-connected photovoltaic systems. The editors explore how failure data can be used to identify how power electronics-based power systems operate and how they can help to perform risk analysis and reduce the likelihood and frequency of failure. The book explains how to apply different fault detection techniques—including signal and image processing, fault tolerant approaches—and explores the impact of faults in grid-connected photovoltaic systems. It offers contributions from noted experts in the field and is fully updated to include the latest technologies and approaches. Readers will also find: A failure mode effect classification approach for distributed generation systems and their components Explanations of advanced machine learning approaches with significant market potential and real-world relevance A consideration of the issues pertaining to the integration of power electronics converters with distributed generation systems in grid-connected environments Treatments of IoT-based monitoring, ageing detection for capacitors, image and signal processing approaches, and standards for failure modes and criticality analyses Perfect for manufacturers and engineers working in the power electronics-based power system and smart grid sectors, Fault Analysis and its Impact on Grid-Connected Photovoltaic Systems Performance will also earn a place in the libraries of distributed generation companies facing issues in operation and maintenance.

Author: Xuzhu Dong
Publisher: Springer Nature
ISBN: 9819934087
Category : Technology & Engineering
Languages : en
Pages : 1278

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Book Description
This book includes the original, peer-reviewed research papers from the 10th Frontier Academic Forum of Electrical Engineering (FAFEE 2022), held in Xi’an, China, in August 2022. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers include electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment. Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.