Email this article Regression model for managing technical risks of production energy supply
- Authors: Pigilova R.N.1, Rakhmonov F.Y.1
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Affiliations:
- FSBEI HE Kazan State Power Engineering University (FSBEI HE KSPEU)
- Issue: No 8 (2024)
- Pages: 42-45
- Section: Production organization
- URL: https://ogarev-online.ru/1993-8780/article/view/280272
- DOI: https://doi.org/10.24412/1993-8780-2024-8-42-45
- ID: 280272
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Abstract
We explored various aspects of technical risk management in industrial energy supply, including the identification of key factors influencing the occurrence of risks, methods for analyzing and predicting technical risks, and risk management strategies to ensure production continuity. Considering regression models in the context of technical risk management will help businesses to develop effective strategies to prevent potential threats and ensure operational stability and reliability.
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About the authors
R. N. Pigilova
FSBEI HE Kazan State Power Engineering University (FSBEI HE KSPEU)
Author for correspondence.
Email: rozapigilova@yandex.ru
Lecturer
Russian Federation, Kazan, Republic of TatarstanF. Yu. ugli Rakhmonov
FSBEI HE Kazan State Power Engineering University (FSBEI HE KSPEU)
Email: rahmonovfarhod2004@gmail.com
Student
Russian Federation, Kazan, Republic of TatarstanReferences
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