Artificial Intelligence Techniques Applications on Power Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 11535
Special Issue Editor
Interests: applications of artificial intelligence; expert systems; fuzzy logic techniques in power systems; advanced building and industrial automation applications; smart electrical installations; troubleshooting and equipment maintenance
Special Issue Information
Dear Colleagues,
A continuous, reliable, and definitive supply of electricity is essential in today’s modern and advanced society. Power systems are showing a continual increasing trend throughout geographical regions with the addition of assets and the introduction of new technologies for the generation, transmission, and distribution of electricity. Moreover, modern power systems operate close to their limits due to ever-increasing energy consumption and the extension of extant electrical transmission networks and lines. Since the early–mid-1980s, most research in power system analysis has turned to the less rigorous and less tedious techniques of artificial intelligence (AI). Over the past 25 years or so, the feasibility of the various applications of AI in power systems has been explored by a number of investigators. Consequently, AI techniques have become popular for solving different problems in power systems: economic load dispatch, load forecasting, optimization of generation and scheduling, transmission capacity and optimal power flow, real and reactive power limits of generators, bus voltages and transformer taps, load demand in interconnected large power systems and their protections, etc. The application of these techniques in solving several power system problems can overcome the drawbacks of traditional solutions.
This Special Issue aims to provide a venue for researchers to interact, share ideas, and discuss their state-of-the-art research on AI techniques applications in power systems. Both original research papers and review articles are welcome.
Prof. Dr. Stavros D. Kaminaris
Guest Editor
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Keywords
- artificial intelligence techniques
- power system engineering
- power systems
- neural network
- fuzzy systems
- expert systems
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