Published on: May 2026
PYTHON-BASED INTELLIGENT SYSTEM FOR DYNAMIC ENERGY DISTRIBUTION
Dr.K. Ramakrishna
Dr. Y. Rokesh Kumar, Dr. U. Rakesh
Article Status
Available Documents
Abstract
A Python-Based Control System for On-Demand Energy Supply is an advanced web-based platform designed to modernize and streamline the traditional fuel distribution process. It enables users to request fuel delivery directly to their location through an intuitive online interface, addressing real-world challenges such as vehicle breakdowns, long queues at fuel stations, emergency requirements, and limited access in remote areas. By eliminating the dependency on physical visits to fuel stations, the system improves convenience and reduces time consumption.
The platform provides dedicated dashboards for fuel stations to efficiently manage fuel inventory, process customer requests, assign delivery personnel, and monitor transaction records. Delivery employees receive tasks digitally and update the delivery status in real time, ensuring accountability and smooth operations. An administrative module oversees the entire system by managing users, fuel stations, transactions, and feedback while maintaining security and system integrity.
Developed using modern technologies such as HTML, CSS, JavaScript for the frontend, and Python with the Flask framework for the backend, along with MySQL for database management, the system ensures secure authentication, role-based access control, and reliable data handling. Overall, the project enhances transparency, automation, and operational efficiency, offering a scalable and practical solution for intelligent, on-demand energy supply management.
How to Cite this Paper
Ramakrishna, K. (2026). Python-Based Intelligent System for Dynamic Energy Distribution. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.432
Ramakrishna, K.. "Python-Based Intelligent System for Dynamic Energy Distribution." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.432.
Ramakrishna, K.. "Python-Based Intelligent System for Dynamic Energy Distribution." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.432.
References
[1]. Asai Kiran et al. (2024), Online Fuel Delivery System Using IoT (IRJMETS), Designed an IOT enabled automated petrol and microcontrollers ,2024.[2]. Srushti Gunthe, et al. (2023), “Fuel Delivery Application”, Uses Android-based online fuel delivery platform using the K-Nearest Neighbor (KNN) algorithm for location-based service optimization,2023
[3]. Gowri and R. Sathish Kumar, (2022) “Smart Automatic Petrol Pump System Based on Internet of Things”, This work focuses on an IoT-based smart petrol pump system enabling real-time delivery tracking and optimized routing. [4]. R. Khatun, et al. (2021) “Vehicle Fuel Activities Monitoring System Using IoT,” The paper presents an IoT-driven fuel monitoring and vehicle tracking system for efficient fuel usage analysis.
[5]. Pallets Project (2023). Flask Official Documentation– Python Web Framework Concepts.
[6].Oracle Cooperation (2023). MySQL Documentation– Relational Database Management System.
[7]. World Wide Web Consortium (2022). HTML5, CSS3, and JavaScript Web Development Standards.
[8]. Object management Group (2021). UML Modelling and System Design Concepts.
[9]. Computer Science Research Community (2020-2024). Research papers on online delivery management systems and web-based service platforms.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 14 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

