Advances in Artificial Systems for Power Engineering

Advances in Artificial Systems for Power Engineering
Author :
Publisher : Springer Nature
Total Pages : 244
Release :
ISBN-10 : 9783030805319
ISBN-13 : 303080531X
Rating : 4/5 (19 Downloads)

Book Synopsis Advances in Artificial Systems for Power Engineering by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Power Engineering written by Zhengbing Hu and published by Springer Nature. This book was released on 2021-07-01 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.


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