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The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

Author

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  • Nguyen Thanh Viet

    (CAD&RD Department, Volgograd State Technical University, 400005 Volgograd, Russia
    Training Department, Pham Van Dong University, Quang Ngai 570000, Vietnam)

  • Alla G. Kravets

    (CAD&RD Department, Volgograd State Technical University, 400005 Volgograd, Russia
    Institute of System Analysis and Management, Dubna State University, Moscow Region, 141982 Dubna, Russia)

Abstract

The development of emerging technologies not only has recently affected current industrial production but also has generated promising manufacturing opportunities that impact significantly on social and economic factors. Exploring upcoming renovation tendencies of technologies prematurely is essential for governments, research and development institutes, and industrial companies in managing strategies to achieve dominant advantages in business competitiveness. Additionally, the prospective changes, the scientific research directions, and the focus of technologies are crucial factors in predicting promising technologies. On the other hand, Industry 4.0 revolutionizes standards and models by accompanying significant technology developments in numerous sectors, including the sector of Smart energy. Moreover, asset performance management is always a prominent topic that has attained prevalence over the last decade because numerous challenges force all industrial companies to optimize their asset usability. However, to the best of our knowledge, no study reported an analysis of technology trends of asset performance management in the Smart energy sector by using proper data mining methods. Hence, this paper aims to fill in this gap and provide an analysis of technology trends of asset performance management in the Smart energy sector by structuring and exploring research subjects, considering problems, and solving methods with numerous experiments on scientific papers and patent data.

Suggested Citation

  • Nguyen Thanh Viet & Alla G. Kravets, 2022. "The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management," Energies, MDPI, vol. 15(18), pages 1-26, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6613-:d:911282
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    References listed on IDEAS

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