Integrated IoT System for Real-Time Electrical Load Monitoring

Yuli Prasetyo, Santi Triwijaya, Ainul Khakim, Dimas Nur Prakoso, Basuki Winarno

Abstract


 

The uncontrolled and excessive consumption of electrical energy, especially in households, often leads to significant energy waste. This issue adversely affects both consumers and electricity providers such as PLN. To address this problem, a system titled "Centralized Monitoring and Control Based on Load Characteristics Using the Internet of Things (IoT)" was developed. This system is designed to monitor and control household electrical loads in real time. The system consists of a PZEM-004T sensor for measuring voltage, current, power, energy usage, frequency, and power factor. An Arduino microcontroller processes the sensor data, while an ESP32 module transmits the data to an online database. A relay module is used to control electrical devices remotely. The data is stored in a database and visualized through a web-based interface, which also enables users to download monitoring reports in PDF or Excel formats. Testing results showed that the system operates with high accuracy. When compared to a standard power analyzer, the measurement error for parameters such as voltage, current, frequency, and power factor remained low, with a maximum error of only 1.9%. It demonstrates the system’s potential for efficient energy monitoring and management in residential settings.


Keywords


Integrated system, Internet of Things, Electrical Load, Monitoring, Energy

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References


M. Sigala, A. Beer, L. Hodgson, and A. O’Connor, Big Data for Measuring the Impact of Tourism Economic Development Programmes: A Process and Quality Criteria Framework for Using Big Data. 2019.

C. K. Rao, S. K. Sahoo, and F. F. Yanine, "Implementation of real-time optimal load scheduling for IoT-based intelligent smart energy management system using new decisive algorithm," Journal of Electrical Systems and Information Technology, vol. 12, art. no. 6, 2025.

A. Mustapha, "Integrating IoT Systems for Real-Time Energy Monitoring and Efficiency in Households," Journal of Materials and Environmental Science, vol. 16, no. 1, 2025.

P. F. Troya, J. M. Martínez, Y.-C. Kim, and A. Mohamed, "IoT Based Approach for Load Monitoring and Activity Recognition in Smart Homes," IEEE Access, vol. 9, pp. 45327–45340, 2021.

S. Naderian, "A Novel Hybrid Deep Learning Approach for Non-Intrusive Load Monitoring of Residential Appliance Based on Long Short Term Memory and Convolutional Neural Networks," arXiv preprint arXiv:2104.07809, 2021.

N. B. Jadhav and P. S. Powar, "IoT based Smart Energy Monitoring System," Journal of Emerging Technologies and Innovative Research, vol. 8, no. 8, 2021.

P. Franco, J. M. Martínez, Y.-C. Kim, and A. Mohamed, "Real-time non-intrusive load monitoring: A light-weight and scalable approach," Energy, vol. 237, art. no. 121611, 2021.

T. Ahmad, D. Zhang, C. Huang, and H. Zhang, "Using the internet of things in smart energy systems and networks," Sustainable Cities and Society, vol. 68, art. no. 102783, 2021.

I. Cedeno-Campoverde and I. Cedeno-Campoverde, "A Smart Home Energy Monitoring System Based on Internet of Things and FIWARE Platform," Open Journal of Internet of Things, vol. 7, no. 1, pp. 1–12, 2021.

H. V. Sampaio, F. Koch, C. B. Westphall, R. N. Boing, and R. N. Santa Cruz, "Autonomic Management of Power Consumption with IoT and Fog Computing," arXiv preprint arXiv:2105.03009, 2021.

Q. Yang and H. Wang, "Privacy-Preserving Transactive Energy Management for IoT-aided Smart Homes via Blockchain," arXiv preprint arXiv:2101.03840, 2021.

Wicaksono, R., Prasetyo, Y., Triyono, B., & Saputra, G. K. S. (2023). Sistem Monitoring Pertanian Hidroponik Tenaga Surya Berbasis Arduino dan IoT. El Sains: Jurnal Elektro, 5(1), 49–54, 2023.

Pambudi, S. A., Artono, B., Rahma, I. M., Sumafta, I. B., & Prasetyo, Y. (2023). Sistem Monitoring Alat Pendeteksi dan Pemadam Kebakaran Hutan Bertenaga Solar Cell Berbasis Internet of Things (IoT). Journal of Electrical, Electronics, Control, and Automotive Engineering (JEECAE), 9(2), 123–130, 2023.

Prasetyo, Y., Triyono, B., Prakoso, D. N., Ningrum, H. N. K., Artono, B., Arifin, A. C., & Febri, A. R. (2023). Penerapan Sistem Penyiraman Otomatis untuk Pertanian Cerdas di Pekarangan Pangan Lestari Sengkolo Makmur. Jurnal Layanan Masyarakat, 7(3), 369–374, 2023.




DOI: https://doi.org/10.52626/joge.v4i1.57

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