CoChat
Sign Up
Cited by 38Digital Transformation in IndustryEnergy, Economy, and Technology TrendsDigital Innovation in Industries

Digital Revolution in the Energy Sector: Effects of Using Digital Twin Technology

Strielkowski, Wadim, Rausser, Gordon, Kuzmin, Evgeny·2022·Lecture Notes in Information Systems and Organisation
DOI 10.1007/978-3-030-94617-3_4
Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/978-3-030-94617-3_4

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Strielkowski et al. highlighted that integrating Digital Twins into decision-making processes enhances both the accuracy and speed of strategic decisions through real-time data analysis.

    “Strielkowski et al. [1] highlighted that integrating Digital Twins into decision-making processes enhances both the accuracy and speed of strategic decisions through real-time data analysis.”

    From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [1]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Strielkowski, W., Rausser, G., & Kuzmin, E.
Affiliations
  • University of California, Berkeley (US)
  • Ural Branch of the Russian Academy of Sciences (RU)
ORCID
Venue
Lecture Notes in Information Systems and Organisation
Publisher
Springer International Publishing
Published
2022
Pages
43-55
ISSN
  • 2195-4968 (ISSN-L)
  • 2195-4976
DOI
10.1007/978-3-030-94617-3_4
OpenAlex
W4226230138
Cited by
38
References
1
Citations by year
2025: 10 · 2024: 14 · 2023: 11 · 2022: 3
FWCI
22.27
Type
book chapter
Language
en
Open access
closed
Licence
Locations
Lecture notes in information systems and organisation (publishedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Economy, and Technology Trends
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
digital twin, energy sector, smart grid, energy internet, Internet of Things, energy companies, maintenance planning, operator training, energy economics, energy policy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review