The Impact of Artificial Intelligence on Electrical Engineering: A Review of Current Applications and Future Prospects

This paper investigates previous research concerning the applications of artificial intelligence (AI) technology in electrical engineering (EE) systems. The EE is one of the fields where AI research gets a lot more attention. This paper examines the potential for AI transformation in EE due to advancements in modern technology and the urgent necessity for innovations in the sector. Recent research papers sourced from open literature constitute the survey dataset, facilitating a comprehensive overview of AI application across key domains of EE. The research focuses on the disciplines of renewable energy (RE), power systems, control systems, and power electronics. The research findings illustrate the benefits and challenges associated with the adoption of AI in these specific EE fields. A survey of the primary AI methodologies encompasses their successful applications and prospective research avenues for future endeavors. This research aims to offer academic guidance for scholars interested in the application of AI in EE by elucidating existing methodologies and fostering future innovation in this ever-evolving domain.

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Publication Details

Journal
The Asian Bulletin of Big Data Management
Published
2025-08-22
DOI
https://doi.org/10.62019/abts8k78
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Artificial Intelligence on Electrical Engineering: A Review of Current Applications and Future Prospects

S. Hussain, Tauseef Abbas, Sheeraz Ahmed, Saad Khan Baloch
The Asian Bulletin of Big Data Management
Machine Fault Diagnosis Techniques
article

The Impact of Artificial Intelligence on Electrical Engineering: A Review of Current Applications and Future Prospects

S. Hussain, Tauseef Abbas, Sheeraz Ahmed, Saad Khan Baloch
article en

Abstract

This paper investigates previous research concerning the applications of artificial intelligence (AI) technology in electrical engineering (EE) systems. The EE is one of the fields where AI research gets a lot more attention. This paper examines the potential for AI transformation in EE due to advancements in modern technology and the urgent necessity for innovations in the sector. Recent research papers sourced from open literature constitute the survey dataset, facilitating a comprehensive overview of AI application across key domains of EE. The research focuses on the disciplines of renewable energy (RE), power systems, control systems, and power electronics. The research findings illustrate the benefits and challenges associated with the adoption of AI in these specific EE fields. A survey of the primary AI methodologies encompasses their successful applications and prospective research avenues for future endeavors. This research aims to offer academic guidance for scholars interested in the application of AI in EE by elucidating existing methodologies and fostering future innovation in this ever-evolving domain.

The Asian Bulletin of Big Data ManagementVol. 5(3)
Shirak State University (AM), University of Engineering and Technology Taxila (PK), Isra University (PK)
Openalex Percentile: Top 74%
Machine Fault Diagnosis Techniques
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