| Issue |
E3S Web of Conf.
Volume 590, 2024
6th Annual International Scientific Conference on Geoinformatics - GI 2024: “Sustainable Geospatial Solutions for a Changing World”
|
|
|---|---|---|
| Article Number | 04006 | |
| Number of page(s) | 8 | |
| Section | GIS in Land Use and Management, and Cadaster | |
| DOI | https://doi.org/10.1051/e3sconf/202459004006 | |
| Published online | 13 November 2024 | |
Optimizing Electricity Infrastructure Management: A Dashboard Approach for Samarkand Region
1 Department of Engineering Geomatics, Samarkand State Architecture and Construction University, 70 Lalazar str., Samarkand, 140147, Uzbekistan
2 "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University, 39 Koriy Niyoziy str., Tashkent, 100000, Uzbekistan
* Corresponding author: aziz.inamovg@gmail.com
Electricity infrastructure management plays a pivotal role in ensuring the reliability and efficiency of power distribution systems. In this paper, we present a comprehensive approach to electricity infrastructure management in the Samarkand region through the development and implementation of a dashboard using ArcGIS Online. The dashboard serves as a centralized platform for stakeholders to visualize, analyse, and monitor various aspects of the electricity network. Key features of the dashboard include filters by district and sub-district, as well as options to select specific electricity lines by name and voltage level. This enables users to focus their analysis on specific areas of interest within the region, enhancing the granularity and relevance of the information presented. The implementation of this dashboard represents a significant step towards modernizing electricity infrastructure management practices in the Samarkand region. By leveraging the power of GIS technology and ArcGIS Online, stakeholders are empowered with a user-friendly and intuitive tool for accessing, analysing, and interpreting electricity infrastructure data.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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