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Advances in Artificial Systems for Power Engineering II

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Artificial Systems for Power Engineering II/ edited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He.
其他作者:	He, Matthew.
面頁冊數:	XI, 220 p. 93 illus., 64 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Electrical Power Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-97064-2
ISBN:	9783030970642

Advances in Artificial Systems for Power Engineering II
Advances in Artificial Systems for Power Engineering II[electronic resource] /edited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He. - 1st ed. 2022. - XI, 220 p. 93 illus., 64 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,1192367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

Conceptual Model of Agro-industrial Cyborg -- Cluster Analysis of the Loading Time-series with the aim of Consistent Durability Estimation -- Intellectual Biotechnical Systems in Livestock: Theoretical Aspects -- Intelligent Systems of Telemedicine Monitoring for Countryside and Agriculture -- Neuroeconomic Modeling of Distributed Barter Systems -- The use of Vegetation Indices in Comparison to Traditional Methods for Assessing Overwintering of Grain Crops in the Breeding Process -- The Hybrid Detection Methodology of Attacks for 5G -- Islanding and Grid Disturbance Detection Based on Multi-SVMs Delay Validation in Synchronous Dominated Microgrids -- Smooth Switching Strategy for Hydropower Microgrid with Auxiliary Load Shedding Control -- Automatic Identification Technology for Distribution Terminals Based on Unlicensed LPWAN -- Multi-machine Joint Video Tracking Mechanism and its Application for Substation Safety Protection -- Substation Equipment Defect Identification Method Based on Mask R-CNN Algorithm -- Comprehensive Evaluation Method and Index System for Electric-Hydrogen-Storage Integrated Energy Network -- Multi-objective Optimal Scheduling for Electricity Hydrogen ESSs Integrated Network in Chongli Winter Olympics Zone -- The Evaluation Index System of Electric Power Industry Supply Chain Management Based on FAHP.

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.

ISBN: 9783030970642

Standard No.: 10.1007/978-3-030-97064-2doiSubjects--Topical Terms:

1365891
Electrical Power Engineering.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Artificial Systems for Power Engineering II
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