| Issue |
E3S Web Conf.
Volume 542, 2024
Green Horizon 2024: International Forum on Energy Management, Ecological Innovation, and Agro-Industrial Practices (YIFHG 2024)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 9 | |
| Section | Advancements in Renewable Energies and Efficiency Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202454201003 | |
| Published online | 27 June 2024 | |
Algebraic quasi-fractal dynamics: Modeling of the risk system of a complex energy-saving system
1 Russian Customs Academy, Lyubertsy, Russia
2 Bauman Moscow State Technical University, Moscow, Russia
* Corresponding author: nsns25@yandex.ru
Algebraic quasi-fractal is a convenient form of recording a process. Currently, digital transformation’s process permeates almost all areas of human activity. In this regard, digital twins of risk management methods become necessary. In this article, we approach the study of the risk system of a complex system from the following position: a risk event in the system occurs in the event of an intermission of the system's connection. The main idea to describe the risk system of a complex system is the description as model with intermission connections. The main tool for it the algebraic quasi – fractal systems. So, it will be used: modeling of the risk system of a complex system in accordance with a model in the form of a group of factors determining the complex system, with a help of a group with an intermission a definite connection of a system; modeling of the risk system of a complex system in accordance with a quasi – fractal group of factors determining the complex system, with a help of a quasi – fractal group with an intermission a definite quasi – fractal connection of a complex system. Such approach allows one to connect properties of a complex system with properties of its risk system.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.