Skip to main navigation menu Skip to main content Skip to site footer

Electrotechnical and Computer Engineering

Vol. 41 No. 08 (2026): Proceedings of the Faculty of Technical Sciences

WEB APPLICATION FOR SUPPORTING OFF-GRID SOLAR POWER PLANTS AND BATTERY STORAGE

  • Lana Slovic
DOI:
https://doi.org/10.24867/
Submitted
September 7, 2026
Published
2026-09-09

Abstract

This paper presents a system for managing off-grid solar power plants and battery storage facilities. The system enables the selection of locations for installing solar panels and batteries, calculation of the amount of electricity generated by the solar panels, display of consumption diagrams, energy production, and battery charge levels, as well as weather forecasting using machine learning methods to estimate future energy production by the panels. The aim of this paper is to contribute to the development of solutions for managing renewable energy sources, enabling more efficient resource utilization, reducing dependence on fossil fuels, and increasing energy sustainability. 

References

  1. [1] Rakhmatov A., Primov O., Mamadaliyev M., Tòrayev
  2. S., Xudoynazarov U., Ulugmurodov E., Xaydarov S.,
  3. Razzoqov I., (2024), E3S Web of Conferences,
  4. Advancements in renewable energy sources (solar
  5. andgeothermal): A brief review, 1-4, doi:
  6. 10.1051/e3sconf/202449701009
  7. [2] Javatpoint, (2024), приступљено у децембру 2024.
  8. године са https://www.javatpoint.com/basicconcepts-in-machine-learning