Global Journal of Engineering and Technology Research (GJETR) · Research article · Open access
A Systematic Review of Digital Energy Technologies and Data-Driven Systems for U.S. Energy Security and Efficiency
Winnings Umosekhame Oketie, Abass Aliu
28 July 2026 · Vol. 2, Issue 7, pp. 312-318
DOI: 10.65150/EP-gjetr/V2E7/2026-09
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What is this article about?
In the United States, maintaining a stable energy supply and improving efficiency have become increasingly important in response to rising consumption, environmental pressures, and the transition to sustainable energy systems. S.
Article at a glance
- Published
- 28 July 2026
- Volume / issue / pages
- Vol. 2, Issue 7, pp. 312-318
- ISSN
- 3051-3782 (online) · 3051-3774 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
In the United States, maintaining a stable energy supply and improving efficiency have become increasingly important in response to rising consumption, environmental pressures, and the transition to sustainable energy systems. This study presents a systematic review of Digital Energy Technologies and Data-Driven Systems for U.S. Energy Security and Efficiency. Using a PRISMA-based methodology, 22 relevant studies published between 2022 and 2026 were analyzed to identify key technological advancements, applications, and challenges. The findings reveal that digital energy technology, supported by artificial intelligence, machine learning, and big data analytics, significantly improves subsurface characterization, resource optimization, and operational efficiency. Integrated data analytics enables real-time monitoring, predictive maintenance, and enhanced decision-making across energy systems, including geothermal, nuclear, and carbon capture, utilization, and storage (CCUS) technologies. These advancements contribute to improved energy security by ensuring reliable resource management and infrastructure resilience. However, the study also identifies critical challenges, including data integration complexity, cybersecurity vulnerabilities, and regulatory limitations that may hinder large-scale implementation. The review highlights the need for robust policy frameworks and secure digital infrastructures to support the adoption of these technologies. This study underscores the importance of data-driven approaches in transforming energy systems and provides insights into how technology can support a more efficient, secure, and sustainable energy future in the United States.
Keywords: Digital Energy Technology, Data-Driven Systems, Energy Security, Energy Efficiency.
Cite this article
Winnings Umosekhame Oketie, & Abass Aliu (2026). A Systematic Review of Digital Energy Technologies and Data-Driven Systems for U.S. Energy Security and Efficiency. Global Journal of Engineering and Technology Research, 2(7), 312-318. https://doi.org/10.65150/EP-gjetr/V2E7/2026-09
@article{Winnings2026,
title = {A Systematic Review of Digital Energy Technologies and Data-Driven Systems for U.S. Energy Security and Efficiency},
author = {Winnings Umosekhame Oketie and Abass Aliu},
journal = {Global Journal of Engineering and Technology Research},
year = {2026},
volume = {2},
number = {7},
pages = {312-318},
doi = {10.65150/EP-gjetr/V2E7/2026-09},
url = {https://doi.org/10.65150/EP-gjetr/V2E7/2026-09}
}Questions about this article
Who wrote this article?
Winnings Umosekhame Oketie, Abass Aliu.
Where and when was it published?
In Global Journal of Engineering and Technology Research, Volume 2, Issue 7, pages 312-318, published by EP Journals Group on 28 July 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-gjetr/V2E7/2026-09 (https://doi.org/10.65150/EP-gjetr/V2E7/2026-09).
How do I cite this article?
APA: Winnings Umosekhame Oketie, & Abass Aliu (2026). A Systematic Review of Digital Energy Technologies and Data-Driven Systems for U.S. Energy Security and Efficiency. Global Journal of Engineering and Technology Research, 2(7), 312-318. https://doi.org/10.65150/EP-gjetr/V2E7/2026-09
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