Trends in Corporate Energy Strategy of Russian Companies

Tryndina, Nikol; Moiseev, Nikita; Lopatin, Evgeniy; Prosekov, Sergey; Jiang, Kejun

doi:10.32479/ijeep.8644

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…Based on the above research object and historical data of energy companies, the training and testing samples are allocated as 6 : 4, 7 : 3, 8 : 2 and 9 : 1, and the Bayesian network model is trained by the above method. e quantitative relationships are given in Tables 1 and 2 for the connection coefficients between the nodes of the network parameters [24][25][26].…”

Section: Methodsmentioning

confidence: 99%

Bayesian Network-Based Marketing Risk Warning Method for Integrated Energy Companies

Guang

Ruan

Dong

2022

Mathematical Problems in Engineering

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People’s daily life heavily depends on energy. The core business of electric power enterprises is commercial energy sales. In the daily work of power enterprises, energy marketing is the most important field which will directly affect the development of enterprises. Although national macro-control exists as a useful way to control the energy market, it also increases the risk of the energy market. Nowadays, the development of the energy market is affected with the adjustment of industrial structure. In the energy market, China’s power companies are state-owned enterprises and have their unique advantages for developing, but there are still some problems in risk awareness, which require us to take measures to control and prevent the impact risk.

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Section: Methodsmentioning

confidence: 99%

Bayesian Network-Based Marketing Risk Warning Method for Integrated Energy Companies

Guang

Ruan

Dong

2022

Mathematical Problems in Engineering

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“…The blockchain was used to monitor the movement of the pipes from the supplier to the buyer with control of all stages of the process, including shipment of pipes from the factory, their transportation, acceptance and distribution procedure, and identification of defective elements. The companies participating in the project highly appreciated its economic efficiency [44,45].…”

Section: Surgutneftegazmentioning

confidence: 99%

Applying Blockchain in the Modern Supply Chain Management: Its Implication on Open Innovation

Teodorescu

Korchagina

2021

Journal of Open Innovation: Technology, Market, and Complexity

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Over the past decade, the blockchain technology has been actively embraced by an increasing number of companies. Blockchain has proven its effectiveness not only in the financial sector, but also in logistics and supply chain management, and has received extensive coverage in the scientific literature. At the same time, the implementation of blockchain in logistics and supply chain management (SCM) is technically difficult and requires significant financial costs. In this regard, its distribution in countries across the world is uneven. In this study, we compare the implementation of blockchain in countries with developed (Germany) and emerging (Russia) economies. Thus, our study provides new findings and information on the similarities and differences in blockchain implementation strategies in countries with developed and emerging economies. This comparative analysis reveals country peculiarities and different approaches regarding the application of blockchain technologies. The research methodology is based on the case study method. Three economic sectors are selected for the cross-country comparative analysis: the energy, food, and pharmaceutical industries. The analysis is focused on the use of blockchain along all three parts of the supply chain: upstream, production and downstream. Using theory building through case studies, our research results reveal many similarities in blockchain implementation in Germany and Russia. They show that blockchain is actively used in all three analyzed sectors by companies in both countries. Moreover, the technology proves its effectiveness in both upstream and downstream parts of the supply chain. In both Germany and Russia, blockchain is mainly used by large businesses due to its high costs. However, there are some differences regarding the implementation process of the technology in both countries. Firstly, the state support is required for some Russian blockchain projects. Secondly, none of the Russian companies has the necessary "full range" of blockchain competencies, so all Russian projects are carried out in collaboration with other parties, primarily IT partners. Thirdly, most of the Russian blockchain projects are still local in nature and relate to the use of technology in the relationship between the specific supplier and corresponding consumers.

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“…The limiting factors are the upcoming changes in the structure of the generating capacities of the Chaun-Bilibino energy center in connection with the planned decommissioning, starting in 2019 from the unit, from the operation of the Bilibino, and subsequently the spent resource of the Chaun and the deployment of a floating nuclear power plant in Pevek "Academic Lomonosov" (Zubakin et al, 2015;Tryndina et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Energy System Structure in Russian Arctic: Coal Production Forecast

Tabachkova

Prosekov

Sokolinskaya

2020

IJEEP

Self Cite

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The article characterizes the electric power industry in the Arctic regions of Russia. The regions of the eastern zone of the Russian Arctic differ significantly in terms of centralization of power supply. Centralized electricity supply in this territory is represented by only a few isolated functioning energy centers: Norilsk in the north of Krasnoyarsk Territory, Chaun-Bilibinsky, Anadyrsky and Egvekinotsky in the Chukotka Autonomous Region. The Arctic and northern regions of the Republic of Sakha (Yakutia) are completely located in the decentralized power supply zone. The paper provides a comparative study of energy system structure. The summary of results obtained the key areas of power generation diversification.

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Trends in Corporate Energy Strategy of Russian Companies

Cited by 7 publications

References 16 publications

Bayesian Network-Based Marketing Risk Warning Method for Integrated Energy Companies

Bayesian Network-Based Marketing Risk Warning Method for Integrated Energy Companies

Applying Blockchain in the Modern Supply Chain Management: Its Implication on Open Innovation

Energy System Structure in Russian Arctic: Coal Production Forecast

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