Registration Number
0225U005142,
(0123U101852)
, R & D reports
Title
Intelligent information technology for proactive management of energy infrastructure in conditions of risk and uncertainty
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Моделювання системних архітектур та компонентів інтелектуальної технології підтримки прийняття рішень при управлінні енергетичною інфраструктурою в умовах ризиків та невизначеності.
Head
Shendryk Vira V., Кандидат технічних наук
Registration Date
26-12-2025
Organization
Sumy State University
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The project is devoted to the development of intelligent information technology for proactive management of energy infrastructure in conditions of risk and uncertainty, which will ensure the flexibility of functioning and sustainable development of the energy industry, as one of the most critical complex technical systems. It is planned to obtain new applied scientific and practical results in the form of methods and tools of intelligent data analysis and artificial intelligence to ensure operative decision-making in energy management, considering their current state and potential in accordance with configuration, functionality, and availability of resources. The aim of the project is to obtain new applied knowledge and practical development of intelligent distributed decision support systems for proactive management of energy infrastructure based on artificial intelligence and distributed information processing methods. In addition, it is planned to expand knowledge regarding the methods of determining the needs of system users, methods of data visualization in a user-friendly form, methods of forecasting peak loads, and planning the balancing of energy networks in accordance with the current configuration, functional capabilities, and availability of resources. This is complex research aimed at developing a set of new methods of building new information technologies and modern methods of intellectual data analysis using intelligent systems built on the knowledge and technologies of artificial intelligence and edge computing
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The study performs a comprehensive analysis of factors affecting the functioning of hybrid energy systems with distributed generation, in particular those that may cause peak loads and imbalances between consumption and generation. Intelligent data analysis models have been developed to support management decision-making, including predictive models of energy consumption and generation that combine the use of historical data with real-time data. New mechanisms for ensuring trust and confidentiality in user interaction with decision support systems are proposed, aimed at increasing their reliability and transparency.
An intelligent information technology for decision support in the management of energy infrastructure facilities has been developed. The information technology is implemented as a distributed system that provides effective decision support in the management of energy infrastructure facilities. The obtained scientific results create a methodological basis for formalizing approaches to the life cycle management of hybrid energy systems using intelligent technologies, which enable the implementation of proactive decision-making strategies under conditions of risk and uncertainty
Product Description
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Vira V. Shendryk
Serhii O. Tymchuk
Petr N. Pavlenko
Yuliia V. Parfenenko
Olha V. Boiko
Vladymyr V. Tkachenko
Yevgen V. Palazhchenko
Larysa M. Bratushka
Anton S. Komin
Artem М. Titariev
Volodymyr V. Nahornyi
Yevhenii А. Chychykalo
Yevhen P. Kholiavka
Oleksandr O. Horbatenko
Denys M. Hryhoriev
Eduard V. Kinshakov
Illia I. Prytula
Dmytrii O. Halkin
Dmytro S. Obramenko
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2025-12-26
