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Advances in Artificial Systems for Power Engineering II

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Zhengbing Hu

    1. Faculty of Applied Mathematics, National Technical University of Ukraine, Kyiv, Ukraine

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  2. Bo Wang

    1. School of Electrical and Automation, Wuhan University, Wuhan, China

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  3. Sergey Petoukhov

    1. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

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  4. Matthew He

    1. Halmos College of Arts and Sciences, Nova Southeastern University, Florida, USA

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  • Includes articles from the 2nd International Conference on Artificial Intelligence and Power Engineering
  • Presents recent developments of artificial intelligence and power engineering
  • Covers a wide range of topics relevant to both business managers and engineering professionals

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 119)

Included in the following conference series:

Conference proceedings info: AIPE 2021.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Conceptual Model of Agro-Industrial Cyborg

    • Oleg N. Gurov
    Pages 1-13

  3. Cluster Analysis of the Loading Time-Series with the Aim of Consistent Durability Estimation

    • Irina V. Gadolina, Irina M. Petrova
    Pages 14-24

  4. Intellectual Biotechnical Systems in Livestock: Theoretical Aspects

    • Vladimir Kirsanov Vyacheslavovich, Yurij Tsoj Alekseevich, Daria Geletiy Grigorievna
    Pages 25-33

  5. Intelligent Systems of Telemedicine Monitoring for Countryside and Agriculture

    • Lev I. Evelson, Boris V. Zingerman, Olga S. Kremenetskaya, Nikita E. Shklovskiy-Kordi
    Pages 34-43

  6. Neuroeconomic Modeling of Distributed Barter Systems

    • I. V. Stepanyan, M. A. Chirkov
    Pages 44-51

  7. The Use of Vegetation Indices in Comparison to Traditional Methods for Assessing Overwintering of Grain Crops in the Breeding Process

    • Rashid Kurbanov, Natalia Zakharova, Vladimir Sidorenko, Sergey Vilyunov
    Pages 52-64

  8. The Hybrid Detection Methodology of Attacks for 5G

    • Maksim Iavich
    Pages 65-74

  9. Islanding and Grid Disturbance Detection Based on Multi-SVMs Delay Validation in Synchronous Dominated Microgrids

    • Dan Zhou, Meiling Deng, Xu Deng, Wenfeng Wang, Jiajie Li, Likun Chen
    Pages 75-84

  10. Smooth Switching Strategy for Hydropower Microgrid with Auxiliary Load Shedding Control

    • Yuchen Huang, Zhicong Cheng, Li Li, Shan Lu, Jing Zhong, Qiuping Zhang
    Pages 85-96

  11. Automatic Identification Technology for Distribution Terminals Based on Unlicensed LPWAN

    • Ran Hu, Xutao Shi, Lei Yu, Zhiyong Yuan, Zhanhua Huang, Kairan Li et al.
    Pages 97-103

  12. Multi-machine Joint Video Tracking Mechanism and Its Application for Substation Safety Protection

    • Tao Qian, Hao Sun, Bing Han, Shuai Zou, Fangwei Zhong
    Pages 104-113

  13. Substation Equipment Defect Identification Method Based on Mask R-CNN Algorithm

    • Hao Sun, Tao Qian, Shuai Zou, Fangwei Zhong, Bing Han
    Pages 114-127

  14. Comprehensive Evaluation Method and Index System for Electric-Hydrogen-Storage Integrated Energy Network

    • Shuai Wang, Chaofan Zhao, Haijun Liu, Runhao Gao, Siwei Liu, Xiaoling Su
    Pages 128-137

  15. Multi-objective Optimal Scheduling for Electricity Hydrogen ESSs Integrated Network in Chongli Winter Olympics Zone

    • Lize Liu, Haijun Liu, Shuai Wang, Runhao Gao, Siwei Liu, Yang Gao et al.
    Pages 138-149

  16. The Evaluation Index System of Electric Power Industry Supply Chain Management Based on FAHP

    • Xia Zhenlai, Zou Ruyi, Zhang Guanxiang, Zhong Huiling
    Pages 150-159

  17. Using the Morphological Approach by the Creation of Innovative Renewable Energy Sources at the Conceptual Design Stage

    • Dmitry Rakov
    Pages 160-169

  18. Automation of the Monitoring in Metal Cutting Operations as Fast-Variable Processes Using Artificial Intelligence Methods

    • Sergei Dosko, Vladimir Utencov, Aleksey Spasenov, Igor Lukashin, Kirill Kucherov
    Pages 170-180

  19. Virtual Simulation of the Surgery of Installing Transitional Implant Dentures for the Two-Stage Dental Implant Osteointegration Period

    • Tatiana Poliakova, Sergei Gavriushin, Sergey Arutyunov
    Pages 181-195

  20. Methodology of a Comprehensive Assessment of the Potential of Regional Energy

    • Nataliya Mutovkina
    Pages 196-206
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  1. Advances in Artificial Systems for Power Engineering II

Keywords

About this book

This book includes refereed papers presented at the Second International Conference on Artificial Intelligence and Power Engineering (AIPE2021), which was held in Moscow, Russia, on December 17–19, 2021. The general scope of the book includes the most recent advances in the development of artificial intelligence systems and their applications in a variety of fields, ranging from power engineering to biology and education.

Given the rapid development of artificial intelligence systems, the book emphasizes the importance of intensifying training for a growing number of relevant specialists, particularly in energy and power engineering, in order to improve the effectiveness of the creation and diagnosis of appropriate technical solutions. Scientists are attempting to replicate the innate intellectual abilities of humans and other organisms in digital artificial intelligence systems. In-depth research into biological and self-organizing systems can provide new approaches for developing more and more effective artificial intelligence methods. The papers included in this volume cover thematic materials in the following areas: mathematics and computer algorithms; analysis of some technical solutions; and technological and educational approaches. The book is a collection of cutting-edge papers in the field, covering a wide range of topics relevant to both business managers and engineering professionals. These proceedings are an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their expanding applications, due to their breadth and depth. The intended readership includes specialists, students, and other groups of readers who want to know where artificial intelligence systems can be used to great advantage in the future.

Editors and Affiliations

  • Faculty of Applied Mathematics, National Technical University of Ukraine, Kyiv, Ukraine

    Zhengbing Hu

  • School of Electrical and Automation, Wuhan University, Wuhan, China

    Bo Wang

  • Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  • Halmos College of Arts and Sciences, Nova Southeastern University, Florida, USA

    Matthew He

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