OPTIMAL MANAGEMENT OF ENERGY SYSTEMS BASED ON SMART GRID AND ARTIFICIAL INTELLIGENCE IN 0.4 KV LOW VOLTAGE ELECTRICAL NETWORKS

Authors

  • F. A. Khalilova PhD, Senior Lecturer, Fergana State Technical University Author

Keywords:

Smart Grid, artificial intelligence, 0.4 kV power grids, power waste, energy efficiency, energy management, smart meter, energy efficiency, forecasting, optimization.

Abstract

This article studies the issues of optimal management of power systems based on Smart Grid technologies and artificial intelligence (AI) in 0.4 kV low-voltage power networks. The possibilities of increasing the reliability of low-voltage power networks, reducing electricity losses, effectively managing consumer loads, and integrating renewable energy sources are analyzed. Ways of forecasting electricity consumption, detecting faults, controlling reactive power, and increasing energy efficiency are considered using artificial intelligence algorithms.

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Published

2026-05-31

Issue

Vol. 2 No. 5 (2026)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

OPTIMAL MANAGEMENT OF ENERGY SYSTEMS BASED ON SMART GRID AND ARTIFICIAL INTELLIGENCE IN 0.4 KV LOW VOLTAGE ELECTRICAL NETWORKS. (2026). Modern American Journal of Engineering, Technology, and Innovation, 2(5), 86-95. https://usajournals.org/index.php/2/article/view/2495