Design and Implementation of an IoT-Based Smart Grid Monitoring System for Real-Time Energy Management

Authors

  • Vinod H. Patil Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune
  • Sheela Hundekari
  • Anurag Shrivastava Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu
  • Hassan M. Al-Jawahry
  • Manish Gupta
  • Akhilesh Reddy
  • Kanchan Yadav

DOI:

https://doi.org/10.22399/ijcesen.854

Keywords:

Smart Grid, IoT, Grid Monitoring, System Design

Abstract

This research project implements and designs an IoT-based smart grid and monitoring system. The main goal of this technology is energy efficiency. The system manages LCD panel output, voltage, and current sensor input using an Arduino Uno microcontroller board as the main processing unit. The design uses a ZMPT101B voltage sensor and an ACS712 current sensor. Sensor data is shown on a 16 x 2-character LCD screen in real time. When current and voltage thresholds are surpassed, MQTT messages are sent to the user's phone. The system is efficient since it can connect to the internet and communicate with the MQTT broker. This is done using the NodeMCU Wi-Fi module. The suggested technology reduces energy inefficiency and allows real-time energy monitoring. The experimental findings show that the proposed energy management system works and has several applications. 

References

Zhang, W., Wang, S., & Huang, H. (2019). Design of smart grid monitoring system based on wireless sensor network and cloud computing. IEEE Access, 7, 145625-145634. doi: 10.1109/ACCESS.2019.2943732

P. Jagdish Kumar, & S. Neduncheliyan. (2024). A novel optimized deep learning based intrusion detection framework for an IoT networks. International Journal of Computational and Experimental Science and Engineering, 10(4). https://doi.org/10.22399/ijcesen.597

Vutukuru, S. R., & Srinivasa Chakravarthi Lade. (2025). CoralMatrix: A Scalable and Robust Secure Framework for Enhancing IoT Cybersecurity. International Journal of Computational and Experimental Science and Engineering, 11(1). https://doi.org/10.22399/ijcesen.825

Kumar, M., Chauhan, N., & Gupta, N. (2020). A Smart Grid Monitoring System using Internet of Things and Machine Learning Techniques. International Journal of Engineering and Advanced Technology (IJEAT), 9(3), 3403-3409.

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Published

2025-03-02

How to Cite

Patil, V. H., Sheela Hundekari, Shrivastava, A., Hassan M. Al-Jawahry, Manish Gupta, Akhilesh Reddy, & Kanchan Yadav. (2025). Design and Implementation of an IoT-Based Smart Grid Monitoring System for Real-Time Energy Management. International Journal of Computational and Experimental Science and Engineering, 11(1). https://doi.org/10.22399/ijcesen.854

Issue

Section

Research Article