Інтелектуальні системи управління ризиками на європейських енергетичних ринках
Based on machine learning algorithms, a method for predicting risks in the European energy markets has been proposed. The work is aimed at developing intelligent risk management systems that utilize advanced artificial intelligence technologies for assessing and minimizing potential threats. Utilizi...
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| Date: | 2024 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Vinnytsia National Technical University
2024
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| Subjects: | |
| Online Access: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/698 |
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| Journal Title: | Optoelectronic Information-Power Technologies |
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Optoelectronic Information-Power Technologies| Summary: | Based on machine learning algorithms, a method for predicting risks in the European energy markets has been proposed. The work is aimed at developing intelligent risk management systems that utilize advanced artificial intelligence technologies for assessing and minimizing potential threats. Utilizing historical data and current market trends, a comprehensive approach to identifying price volatility and risk zones in the energy markets is presented. The study demonstrates how artificial intelligence can enhance the effectiveness of decisions made by managers in the energy markets and ensure more sustainable resource management in conditions of increasing uncertainty. The results show that the use of complex machine learning algorithms and data analysis can significantly improve the accuracy of risk prediction and contribute to the adoption of well-founded managerial decisions. |
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