Smart Metering Systems: Аn Empirical Analysis of Technology Perception Factors

Кузьмин, П. С.

doi:10.17747/2618-947x-2021-1-8-23

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…e LSTM cell contains a memory cell module and three gate structures that run through the whole cell. e memory cell module provides a long-term path of gradient propagation for the LSTM cyclic neural network, thus alleviating the problem of gradient disappearance in RNN [17].…”

Section: Long-term and Short-term Memory Unitsmentioning

confidence: 99%

Home Care System for Mobility Disabilities Based on Intelligent Perception

Qiu

2022

Computational Intelligence and Neuroscience

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In order to explore how to realize home care for the elderly with mobility difficulties, this paper proposes a home care system for the elderly with mobility difficulties based on intelligent perception. This method explores the research of home care for mobility disabilities by recommending key technical problems and solutions based on information represented by intelligent perception. The research shows that the home care system based on intelligent perception can effectively solve the nursing problems of the elderly, which is about 60% more efficient than the traditional methods. The combination of intelligent perception and reasonable home care mode will improve the social and economic benefits of health services and promote the balance between supply and demand of the whole health services.

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Section: Long-term and Short-term Memory Unitsmentioning

confidence: 99%

Home Care System for Mobility Disabilities Based on Intelligent Perception

Qiu

2022

Computational Intelligence and Neuroscience

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“…The list of d i -independent variables that are factors infl uencing the company's decision to invest in the implementation of the active consumer model is defi ned in the study [Kuzmin, 2021c]. It is presented in table 1.…”

Section: Investments In Projects For the Implementation Of Active Con...mentioning

confidence: 99%

The Concept of Transformation of the Retail Electricity Market in the Context of Digital Transformation of the Industry

Кузьмин

2023

SDRM

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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.

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