Author:
Bashirov Mussa,Akchurin Damir,Volkova Olga,Golovanov Daniil,Fayzullina Adelya,Sharafutdinov Ilfat
Abstract
Intelligent systems represent a new direction in the electrical power industry, and training students in this area requires appropriate updating of curricula and laboratory equipment. In this regard, it is necessary to create educational and research complexes in special disciplines to train specialists in intelligent electric power systems. This article presents an educational and research laboratory complex with elements of artificial intelligence for diagnosing the technical condition of equipment in electric power complexes. A free version of the IDE was used as an integrated development environment, which provides the basic functions and tools necessary for developing and debugging Python projects. The software part of the complex has been developed, including a digital twin of the laboratory installation, an executive part and a neural network model.
Reference22 articles.
1. Order of the Government of the Russian Federation of 03.04.2013 N 511-r, On Approval of the Strategy for the Development of the Electric Grid Complex of the Russian Federation. Official Internet Portal of Legal Information, http://www.pravo.gov.ru
2. Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems
3. Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献