Authors :
Rajesh Ratnakar Khiste; Diksha Audumbar Jagtap; Akshada Anil Salunkhe; Vaishanavi Vinayak Kavathalkar; Sanika Ravindra Galitkar
Volume/Issue :
Volume 11 - 2026, Issue 3 - March
Google Scholar :
https://tinyurl.com/mr3w8ux2
Scribd :
https://tinyurl.com/2hskdj3t
DOI :
https://doi.org/10.38124/ijisrt/26mar719
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Electricity has become an essential part of everyday life. From household appliances to industrial machines, almost
every activity depends on electrical energy. However, most people do not clearly understand how much electricity they
consume at different times of the day because traditional electricity meters only show the total usage. As a result, it becomes
difficult to identify unnecessary power consumption.
This paper presents a simple and cost-effective IoT-based energy monitoring and prediction system using the ESP32
microcontroller. The proposed system measures electrical parameters such as voltage, current, and power using sensors
connected to the ESP32 board. The collected data is sent to a cloud platform through Wi-Fi so that users can monitor their
electricity usage in real time using a web dashboard or mobile application.
In addition to monitoring, the system also analyzes previously collected data and predicts future electricity
consumption using basic data analysis techniques. This helps users understand their energy usage patterns and take better
decisions to reduce electricity wastage. The proposed system is affordable, easy to implement, and suitable for homes, small
businesses, and educational institutions.
Keywords :
Internet of Things, ESP32, Energy Monitoring, Smart Meter, Energy Prediction, Smart Home.
References :
- H. J. El-Khozondar et al., “A Smart Energy Monitoring System using ESP32 Microcontroller,” e-Prime – Advances in Electrical Engineering, 2024.
- O. Muñoz, “Development of an IoT Smart Energy Meter for Monitoring Power Consumption,” Energy Reports, 2024.
- R. N. Mendoza et al., “IoT-Based Energy Monitoring System for Optimizing Power Consumption in University Facilities,” 2024.
- S. K. Tripathi et al., “ESP32-Based IoT Smart Grid for Energy Management,” 2025.
- B. Mallala et al., “IoT-Enabled Smart Energy Meter for Real-Time Power Monitoring,” Scientific Reports, 2025.
Electricity has become an essential part of everyday life. From household appliances to industrial machines, almost
every activity depends on electrical energy. However, most people do not clearly understand how much electricity they
consume at different times of the day because traditional electricity meters only show the total usage. As a result, it becomes
difficult to identify unnecessary power consumption.
This paper presents a simple and cost-effective IoT-based energy monitoring and prediction system using the ESP32
microcontroller. The proposed system measures electrical parameters such as voltage, current, and power using sensors
connected to the ESP32 board. The collected data is sent to a cloud platform through Wi-Fi so that users can monitor their
electricity usage in real time using a web dashboard or mobile application.
In addition to monitoring, the system also analyzes previously collected data and predicts future electricity
consumption using basic data analysis techniques. This helps users understand their energy usage patterns and take better
decisions to reduce electricity wastage. The proposed system is affordable, easy to implement, and suitable for homes, small
businesses, and educational institutions.
Keywords :
Internet of Things, ESP32, Energy Monitoring, Smart Meter, Energy Prediction, Smart Home.
