Energy Project Management with Artificial Intelligence

Authors

  • Wei Liu

DOI:

https://doi.org/10.62051/ijepes.v2n2.02

Keywords:

Artificial Intelligence, Data Analysis, Intelligent Optimisation, Risk Management, Intelligent Decision Making

Abstract

The integration of artificial intelligence (AI) technology into energy project management has emerged as a significant trend. This paper presents an extensive review and analysis of AI applications in this domain, emphasizing areas such as data analysis and prediction, intelligent optimization, risk management, and decision support systems. We systematically review the current literature, highlighting the critical role of AI in enhancing energy project management. Our discussion encompasses existing research outcomes and future development trajectories, aiming to furnish valuable insights and guidance for both research and practical applications in the field.

References

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BAHRAMMIRZAEE, A. Neural comput & applic [EB /OL]. [2019-12-01]. https://xs.scihub.ltd / https:// doi.org/10. 1007/s00521-010-0362-z.

KŁOSOWSKI G, GOLA A. Risk-based estimation of manufacturing order costs with artificial intelligence[C]//2016 Federated conference on computer science and information systems (FedCSIS). IEEE, 2016: 729-732.

TIMMA L, ZOSS T, BLUMBERGA D. Life after the financial crisis. energy intensity and energy use decomposition on sectorial level in Latvia[J]. Applied energy, 2016, 162: 1586-1592.

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Published

25-06-2024

Issue

Section

Articles

How to Cite

Liu, W. (2024). Energy Project Management with Artificial Intelligence. International Journal of Electric Power and Energy Studies, 2(2), 10-16. https://doi.org/10.62051/ijepes.v2n2.02