Proceeding of the Faculty of technical Sciences, Novi Sad

Electrotechnical and Computer Engineering

Vol. 40 No. 12 (2025): Proceedings of the Faculty of Technical Sciences

ENERGY TRADING PLATFORM WITH A MICROSERVICES ARCHITECTURE      AND AI MARKET ANALYSIS

  • Aleksa Popov
DOI:
https://doi.org/10.24867/33BE19Popov
Submitted
January 18, 2026
Published
2026-02-18

Abstract

The paper presents the implementation of an application for automated electricity trading, which uses a trained AI model for price prediction. The solution is implemented using a microservices architecture, and the entire application is based on Docker containers. 

References

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  2. [2] Docker -https://www.techtarget.com/searchitoperations/definition/Docker
  3. [3] Flask - https://flask.palletsprojects.com/en/stable/
  4. [4] JWT Token - https://www.geeksforgeeks.org/web-tech/json-web-token-jwt/
  5. [5] DaaS - https://www.mongodb.com/solutions/use-cases/data-as-a-service
  6. [6] Pattern: Shared database - https://microservices.io/patterns/data/shared-database.html
  7. [7] Linear Regression - https://www.geeksforgeeks.org/machine-learning/ml-linear-regression/
  8. [8] reCAPTCHA - https://developers.google.com/recaptcha/docs/v3