LoRa-Based Energy Intelligence System for Consumer and Utility Networks

Authors:

1. Dr.B.Rohith Bala Jaswanth 2. K.Lakshmi Kameswara Rao 3. A.Naga Pavan 4.G.Vijay Sai Satya 5.B.Hemanth

Dr.B.Rohith Bala Jaswanth is with the Department of Internet of Things, Seshadri Rao Gudlavalleru Engineering College(SRGEC), Gudlavalleru, Andhra Pradesh, India. He is an Associate Professor (e-mail: jaswanthiot@gmail.com)

K.Lakshmi Kameswara Rao, A.Naga Pavan, G.Vijay Sai Satya, B.Hemanth are with the Department of Internet of Things, Seshadri Rao Gudlavalleru Engineering College (SRGEC), Gudlavalleru, Andhra Pradesh, India. They are undergraduate students (e-mail: arepallinagapavan2004@gmail.com vijaygogadi1@gmail.com hemanthbathina93@gmail.com kameswararaokatta@gmail.com )

Abstract—The rapid increase in electricity consumption has created challenges for both users and power distribution companies in monitoring and managing energy efficiently, especially in rural or village areas where individual houses do not have internet connectivity. Traditional energy meters require manual readings and do not provide real-time consumption details, leading to billing delays, poor load management, and lack of transparency. To solve this problem, this project proposes a LoRa-based IoT Smart Energy Meter system that enables real-time energy monitoring and centralized data management. In each house, an ESP32 microcontroller is integrated with a PZEM-004T energy measurement module to measure voltage, current, power, and total energy consumption. Since internet is not available at the user end, LoRa communication is used to transmit the data to a local hub that has internet connectivity. The local hub receives the readings and uploads them to Firebase Firestore in a structured format, updating data every second. A web dashboard allows users to monitor daily and monthly consumption, set usage limits, receive notifications, and view automatically generated monthly bills. At the same time, power distribution companies can analyze area-wise consumption data for efficient load management. The system improves transparency, reduces manual effort, prevents overload issues, and supports smarter energy distribution.

Keywords— Internet of Things (IoT), LoRa Communication, Smart Energy Meter, ESP32, PZEM-004T, Firebase Firestore, Cloud Database, Real-Time Monitoring, Smart Billing System, Load Management, Power Distribution, Smart Grid Technology.