O.I. Kliuzko

Èlektron. model. 2025, 47(1):03-21

https://doi.org/10.15407/emodel.47.01.003

ABSTRACT

The problem of making strategic decisions by the electricity supplier in significant uncertainty conditions caused by high volatility of prices on the wholesale market and fluctuations in the electricity consumption volume is determined. An overview was performed on the mathematical models and methods presented in the scientific literature, aimed at solving the problems faced by individual market participants, taking into account their specific goals, regulatory and technological limitations. An analysis was conducted on the main methods and models used to optimize the activities of electricity suppliers in order to increase their profitability through the forming processes improvement and the procurement portfolio management, as well as making strategic decisions. Recommendations are offered for optimizing the activities of electricity suppliers aimed at increasing their profitability and efficiency of purchasing portfolio management.

KEYWORDS

mathematical models, optimization model, programming, electricity market, electricity supply.

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D.P. Sinko, K.D. Sinko

Èlektron. model. 2025, 47(1):22-39

https://doi.org/10.15407/emodel.47.01.022

ABSTRACT

The scenarios of cluster partitioning are described and an approach is proposed that involves adding a special node to the cluster in order to predict the onset of a state preceding the cluster partitioning. Based on the results of the analysis of machine learning algorithms, the algorithms that are appropriate for solving the problem of preventing the occurrence of critical states of a cyber-physical system in the context of network partitioning are identified.

KEYWORDS

split brain problem, partitioning, machine learning algorithms, cluster, cyber-physical system.

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P.K. Nikolyuk, O.V. Zelinska

Èlektron. model. 2025, 47(1):40-52

https://doi.org/10.15407/emodel.47.01.040

ABSTRACT

The fundamental issue of urban traffic is the time of vehicle travel along the chosen route. It is clear that this time should be minimized for each driver. In a large city, there may be more than a million such drivers. The basic element and at the same time the basic problem of traffic control in a metropolis is a single intersection. It is this object where city roads intersect that is both the main cause and source of traffic jams. Therefore, the first priority is to implement intelligent regulation of vehicle traffic through a single intersection. By organizing efficient traffic through such an object, we will achieve high traffic efficiency throughout the city. There is a whole range of approaches to solving the problem of traffic control through in­ter­sections. An important direction is the use of computer modeling based on artificial intel­ligence (AI) methods. An intersection model and an AI-based algorithm for implementing the passage of cars through such an object are proposed, which allows optimizing traffic. The se­cond important aspect of optimizing the traffic process is proposed, which is based on mode­ling the urban transport network using an oriented nonplanar weighted multigraph. Graph theo­ry algorithms are used to optimize the passage of each vehicle along the selected route.

KEYWORDS

urban traffic, artificial intelligence (AI), vehicle, graph theory

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О. Vdovichenko, V. Kharchenko

Èlektron. model. 2025, 47(1):53-76

https://doi.org/10.15407/emodel.47.01.053

ABSTRACT

The article investigates the models of controlled multilevel degradation (CMD), reliability, and survivability of programmable devices (PDs). The known platforms of PDs and their potential capabilities for reconfiguration in case of failures are considered and classified. A preliminary assessment for each type of PDs is given, the nature of their reconfigurability (RA) is investigated, and appropriate metrics for analyzing RA are proposed.

The models of components, faults, and reconfiguration procedures in case of failures that lead to a functioning quality reduction of the PDs are proposed. The structural reliability schemes for reconfiguration procedures are analyzed. A formal definition of the CMD and the conditions for its implementation is given. The multifragment Markov’s models for calculating the availability function of the PD with CMD are described. The sequence of analysis and determination of RA metrics is proposed. Examples for analyzing of real PDs with CMD are analyzed.

KEYWORDS

programmable devices, reliability models, reconfiguration, multilevel controlled degradation, reconfigurability, metrics.

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