The paper discusses the issue of improving the management system of the energy complex sustainable development at the territorial level from the perspective of ensuring energy security. It proposes the management models of the electric power and heat supply territorial systems development that allow taking into account current trends of expanding the use of market mechanisms to manage territorial energy production and to ensure a balance of interests of management subjects at various organizational levels. Based on a multidimensional statistical analysis for selected groups of Russian regions, it gives recommendations on choosing a priority strategy to reduce the energy intensity of the gross regional product.

Our paper focuses on the threats to the global development and sustainable economic development of a country that might include economic, political, human development, as well as sustainable development issues and problems. Sustainable economic development might serve as a tool for fostering the country's prosperity and helping it to overcome various threats that might stem from its geolocation, economic situation, natural resources, as well as many other internal and external factors that all play their decisive roles. The paper uses a case study of the United States as an example of the country vulnerable to a plethora of threats. It analyzes the most crucial threats one by one and classifies the most notorious and impending issues stemming from these threats that might hamper the economic growth and development. In particular, we focus on the issue of energy security and the renewable energy sources (RES) that represent an important aspect in this debate and research. Our results can be used by the policymakers as well as regional development managers for improving the security strategy.

The structure of this work in the field of queuing theory consists of two stages. The first stage presents Little’s Law in Multiphase Systems (MSs). To obtain this result, the Strong Law of Large Numbers (SLLN)-type theorems for the most important MS probability characteristics (i.e., queue length of jobs and virtual waiting time of a job) are proven. The next stage of the work is to verify the result obtained in the first stage.

Acceleration of scientific and technical progress, speeding up of technological changes, IT process globalisation and integration of OT processes invoked new challenges in preparing cyber strategies. Issues with adapting strategy for a particular specificity, region and specific cyber-attacks are not applicable. Therefore, a natural need arises to adjust the process for future cyber-attacks. It should be noted that the vast majority of organisations still need to possess a strategy that has been developed in correlation with future cyber-attacks. A part of organisations, irrespective of the lack of methodology and necessary infrastructure at the initial stage, commenced applying strategic management methods as a more dynamic environment demanded adequate changes in the cyber security within the organisation itself. The organisation started to plan such changes because, at the initial stage of the strategic management theory development, the strategy was understood as a plan drawn up to achieve the set objectives, regardless of the future need. Implementing such strategic procedures is grounded on something other than scientific calculations and is often associated with excessive use of funds. Therefore, the main goal of this article is to determine how much the r-Interdiction Median Problem with Fortification (RIMF) module can be used as a model for deciding methods for protecting critical infrastructure systems.

The optimal financial investment (Portfolio) problem was investigated by leading financial organizations and scientists. Nobel prizes were awarded for the Modern Portfolio Theory (MPT) and further developments. The aim of these works was to define the optimal diversification of the assets depending on the acceptable risk level.In contrast, the objective of this work is to provide a flexible, easily adaptable model of virtual financial markets designed for the needs of individual users in the context of utility theory. The aim is to optimize investment strategies. This aim is the new element of the proposed model and simulation system since optimization is performed in the space of investment strategies; both short term and longer term.The new and unexpected result of experiments with the historical financial time series using the PORTFOLIO model is the observation that the minimal prediction errors do not provide the maximal profits.