DETERMINATION OF NETWORK TRAFFIC ANOMALIES IN A DISTRIBUTED COMPUTER SYSTEM WITH ENERGY FACILITIES

• Datum: 2024
• Hauptverfasser: Shapovalova , S., Matіakh , S., Titov , V.
• Format: Artikel
• Sprache: English
• Veröffentlicht: Institute of Renewable Energy National Academy of Sciences of Ukraine 2024
• Schlagworte: renewable energy; energy decentralization; MLP; RNN; LSTM; KNN; Logistic Regression; Decision Tree; GBM.
• Online Zugang: https://ve.org.ua/index.php/journal/article/view/455
• Назва журналу: Vidnovluvana energetika

The paper presents research, the purpose of which is to define a machine learning model for express analysis of network traffic in a distributed computer system for managing decentralized generation facilities based on renewable energy. The available tools for monitoring processes in the computer ne...