The use of smart metering systems for electricity is one of the key components of the digital transition in the power industry. Smart metering systems are equipped with modules for collecting, processing, storing, sending and receiving data, and their implementation generates a wide range of effects for electricity companies, electricity consumers, as well as authorities and industry regulators. The functionality of smart metering systems can be significantly expanded when using non-intrusive load monitoring meters. The purpose of this work is to develop a list of factors that have both a positive and a negative impact on the perception of intelligent metering systems technologies both among power companies and end consumers - participants in retail electricity markets.At the first stage of the study, based on the models of E. Rogers and F. Davis, a list of factors influencing the adoption of smart metering technologies by both energy companies and end consumers of electricity was developed. Based on in-depth interviews with experts, the factors were verified and questionnaires were developed for the next stage of the study.At the second stage, a quantitative study was carried out, which made it possible to determine the degree of influence of factors on the adoption of smart metering technology by users.At the end of the work, recommendations were developed to accelerate the distribution of smart metering systems and quickly achieve positive effects from their implementation.

Technological changes taking place in Russia and in the world have an impact on many sectors of the economy, including the electric power industry. There has been a tendency for consumers to withdraw from centralized power supply due to a wide range of factors: the spread and cheapening of generation technologies using renewable energy sources, energy storage systems, as well as the development of smart metering systems. The proliferation of digital technologies of Industry 4.0 allows innovative energy technologies to be integrated together.The purpose of this work was to identify and verify the effects generated by the technologies of the fourth industrial revolution in the electric power industry, and the resulting new models of interaction between consumers and energy companies in the electricity market.At the beginning of the study, the effects of the spread of distributed generation (including the use of renewable energy sources), energy storage systems, smart electricity metering systems, as well as digital technologies of industry 4.0 were identified, and the impact of these technologies on changing the nature of consumer interaction and energy companies.Further, the analysis of the main approaches to organizing the interaction of energy companies with a new type of electricity consumers - an active consumer, is carried out, and the key effects from the spread of active consumer models are determined.At the end of the work, industry experts were interviewed with subsequent questionnaires, which made it possible to assess the prospects for deploying active consumer models.

The market model of the Russian power industry that currently exists is facing trends and challenges, such as rising electricity prices for end-consumers, rising tariffs for power transmission services and sales mark-ups, the complexity and high cost of technological connection to power grids and capacity expansion, as well as increase in cross-subsidisation.At the same time, the energy industry is influenced by external factors caused by a number of technological changes that have matured in Russia and in the world, such as the transition from electric energy production at large power plants to the use of distributed generators (including those using renewable energy sources (RES), an increase in the final price on electricity due to growth in demand, as well as the transformation of the spread and reduction in the cost of generator techniques with the use of renewable energy sources, technologies for energy storage systems, as well as the development of smart metering systems.In turn, cutting-edge technologies of the electric power industry not only lead to positive economic effects when implemented separately, they reveal the fullest range of effects and lead to the emergence of new models of interaction in the retail market if their interaction is coordinated by Industry 4.0 digital technologies. Thus, the combined influence of digital transition technologies in the electric power industry forms the prerequisites for the emergence of a new type of consumer of electric power – an active consumer.The purpose of this study is to analyse the factors influencing the adoption of these technologies by retail market entities and the effectiveness of their implementation, as well as the formation of a target retail market concept that takes into account the introduction of active consumers and has the potential to create direct and indirect economic effects for energy industry entities.

The key tool for economic growth and overcoming restrictions is the implementation of major infrastructure projects in the field of railway transport. Infrastructure projects aimed at organising passenger and freight rail traffic form a wide range of social effects, such as saving travel time, improving transportation safety, reducing emissions of harmful substances and noise levels, increasing physical activity, improving social integration and organising a barrier-free environment, agglomeration effects and an increase in subjective well-being.At the same time, such projects are very capital-intensive and often cannot be implemented in full due to limited funding. Especially this factor plays a significant role in the current conditions of sanctions pressure. The combination of these factors leads to the need for comprehensive risk management when deciding on the implementation of an infrastructure project for the development of railway junctions.Thus, the purpose of this study is to identify risks in the implementation of infrastructure projects, assess the identified risks and formulate recommendations for their reduction.

The digital transition in the electric power industry is a promising goal for the development of the industry. In recent years, a wide range of technologies has been introduced into various types of activities of energy companies, including significant attention being paid to technologies that implement demand-side management, transferring consumers from the passive category to active consumers, and also opening up new opportunities in energy management. Non-intrusive load monitoring technology is of significant interest for both electricity suppliers and consumers in the USA and EEC countries, however, a Russian-language study is being carried out for the first time.The purpose of the study is to consider the concept of non-intrusive load monitoring, to formulate and systematize the effects for electric power industry entities and consumers of electricity from the introduction of technology.A review of literary sources is carried out, the most cited articles on this topic are analyzed. To calculate the propagation rate of non-intrusive load monitoring, the Bass innovation diffusion model was used. The model allows to perform an assessment based on data on similar products and has established itself as sufficiently effective for predicting the distribution of durable goods, the actual information for which has not yet been collected.For the first time, a classification of effects arising from the introduction of technology is proposed. The paper obtained a range of effects for households, energy companies, business and government. The calculation of the technology distribution rate showed that without the use of technological corridors and the systematic introduction by energy companies, the peak of adoption can be reached by 8 years from the start of implementation.Non-intrusive load monitoring allows you to get a wide range of data in order to further optimize energy consumption, increase the efficiency of enterprises, monitor the operation of equipment. There are great opportunities in the commercialization of collected data.