Advances in Artificial Systems for Power Engineering II

Zhengbing Hu (Curatore)

Bo Wang (Curatore)

Springer Nature Switzerland AG, 2022

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.

• Curatore: Zhengbing Hu, Bo Wang
• Editore: Springer Nature Switzerland AG
• Collana: Lecture Notes on Data Engineering and Communications Technologies
• Anno: 2022
• Rilegatura: Paperback / softback
• Pagine: 220 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030970635

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