Article Info
Article Info
In This Issue
From Refinery to Road: Execution of Fuel Logistics & Market Adaptation
Anuj Santosh Jagadale
ANN-Enhanced Adaptive Sliding-Mode Control for STATCOM- Assisted Self-Excited Induction Generator in Wind Energy Conversion Systems
S. Radha Krishna Reddy
Empowering Researchers in the AI Era: A Study of Emerging Tools, Applications, and Impact
Vivek Kumar Saxena
Comparative Study of Mono and Hybrid Nanofluids in MQL Turning of AISI 1040 Steel Using Box–Behnken RSM Approach
Mr. Altaf Nalbandh
A Drift-Aware One-Class SVM Framework for Real-Time Adaptive DDoS Detection in SDN Environments
Priti Tukaram Chorade
A Comparative Multi-Modality Evaluation of Ensemble Machine Learning and Variational Quantum Classification for Alzheimer’s Disease Prediction
Rohithkumarreddy Thatigutla
Design of Intelligent Energy Meter with IoT-Based Power Theft Detection
by Mayuresh Desai , Ms. R. S. Chavan , Adinath B Ghugare , Aniket L Methe
International Journal of Technology & Emerging Research 2026 , 2 (4) , 45–48
10.64823/ijter.2604005Abstract
This paper presents the design and development of an intelligent energy meter integrated with Internet of Things (IoT) technology for real-time monitoring and power theft detection. Traditional metering systems are unable to identify unauthorized consumption effectively, resulting in major revenue losses. The proposed system utilizes voltage and current sensors interfaced with a microcontroller to continuously monitor energy usage. The collected data is transmitted to a cloud platform for analysis. Any mismatch or abnormal pattern in consumption is treated as potential theft and triggers an alert. This system ensures transparency, improves efficiency, and reduces manual intervention. The solution is cost-effective, scalable, and suitable for modern smart grid applications.
Keywords: Electrical engineering final year project
Share Your Research
Spread the word across academic networks
/280 characters
Download and attach while posting
Generating image...
Could not generate image preview.