Building a knowledge ecosystem based on it-infrastructure of system research in energy

Purpose of research: building a Knowledge Ecosystem in the field of energy. Object of research: energy facilities and systems and the fuel and energy complex as a whole. Subject of research: methods and technologies for building knowledge ecosystems. Methods of research: mathematical and semantic (including ontological) modeling, methods for constructing knowledge bases and tools (services) for working with them. Main results of research: the possibility of using the IT- infrastructure of systemic research in the energy field as a scientific prototype of the Knowledge Ecosystem in the energy sector is shown. The basic concepts of knowledge ecosystems are discussed using a review of foreign sources. The possibility of using the IT-infrastructure of system research in the energy sector as a scientific prototype of the knowledge ecosystem in the energy sector is shown. The development of a Knowledge Ecosystem in the energy sector is proposed based on the IT infrastructure of systems research in the energy sector and its architecture is presented, including models, tools and digital twins.

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Publication Details

Journal
Yugra State University Bulletin
Published
2024-08-16
DOI
https://doi.org/10.18822/byusu20230478-87
Citations
1
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.49
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article

Building a knowledge ecosystem based on it-infrastructure of system research in energy

Aleksei Massel, Liudmila V. Massel
1 citations
Yugra State University Bulletin
Complex Systems and Decision Making
0.49
article

Building a knowledge ecosystem based on it-infrastructure of system research in energy

Aleksei Massel, Liudmila V. Massel
article en
1 citations

Abstract

Purpose of research: building a Knowledge Ecosystem in the field of energy. Object of research: energy facilities and systems and the fuel and energy complex as a whole. Subject of research: methods and technologies for building knowledge ecosystems. Methods of research: mathematical and semantic (including ontological) modeling, methods for constructing knowledge bases and tools (services) for working with them. Main results of research: the possibility of using the IT- infrastructure of systemic research in the energy field as a scientific prototype of the Knowledge Ecosystem in the energy sector is shown. The basic concepts of knowledge ecosystems are discussed using a review of foreign sources. The possibility of using the IT-infrastructure of system research in the energy sector as a scientific prototype of the knowledge ecosystem in the energy sector is shown. The development of a Knowledge Ecosystem in the energy sector is proposed based on the IT infrastructure of systems research in the energy sector and its architecture is presented, including models, tools and digital twins.

Yugra State University Bulletin(4)
Renewable Energy Systems (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Complex Systems and Decision Making
0.49
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