LEADER 04198nam 22005655 450 001 9910488701303321 005 20251230064144.0 010 $a3-030-80531-X 024 7 $a10.1007/978-3-030-80531-9 035 $a(CKB)5590000000519687 035 $a(MiAaPQ)EBC6675964 035 $a(Au-PeEL)EBL6675964 035 $a(OCoLC)1259625892 035 $a(PPN)258088923 035 $a(BIP)80795993 035 $a(BIP)80457423 035 $a(DE-He213)978-3-030-80531-9 035 $a(EXLCZ)995590000000519687 100 $a20210701d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Artificial Systems for Power Engineering /$fedited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (252 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1403 311 08$a3-030-80530-1 327 $aChatbots as a Tool to Optimize the Educational Process -- Intelligent System of Computer Aided Processes Planning -- Polypolar Coordination by the Multifocal Lemniscates -- Evaluation Method of Distributed Renewable Energy Access to Distribution Network Based on Variable Weight Theory -- Evaluation of Distribution Equipment Utilization Based on Data Driven -- Parametric Oscillations at Delays in the Forces of Elasticity and Damping -- Algebraic Harmony in Genomic DNA-texts and Long-range Coherence in Biological Systems. 330 $aThis book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25?27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1403 606 $aComputational intelligence 606 $aElectric power production 606 $aComputational Intelligence 606 $aElectrical Power Engineering 615 0$aComputational intelligence. 615 0$aElectric power production. 615 14$aComputational Intelligence. 615 24$aElectrical Power Engineering. 676 $a006.3 702 $aHu$b Zhengbing 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910488701303321 996 $aAdvances in artificial systems for power engineering$92817217 997 $aUNINA