Cloud-Based Optimization of Power Consumption Using IoT

Authors

  • Tanuja Sanjay Kumbharkar
  • Venkatesh Manoj Ladda
  • Harsh Sandesh Laghave
  • Prachi Rajendra Lahoti
  • Roshan Indurao Langhi
  • T. Bhaskar

Abstract

In today’s world, there is a growing need to save electricity and keep track of how much energy we use. Traditional energy meters do not provide live information or smart features. To improve this, we have developed a low-cost, IoT-based Smart Energy Meter (SEM) using the ESP32 microcontroller and the Blynk cloud platform. This system takes energy consumption data directly from a digital energy meter and sends it to the cloud using Wi-Fi. Users can view the data in real time through the Blynk mobile or web app. The system shows how many units of electricity are used, sends notifications, and helps in automated billing. It also keeps a record of past usage so users can understand their energy patterns. The main components of the system include a digital energy meter, ESP32, Wi-Fi connectivity, and the Blynk platform for visualization and control. This setup helps users become more aware of their energy usage and manage it more effectively using modern technology.

Downloads

Published

2025-07-18

How to Cite

Sanjay Kumbharkar, T., Manoj Ladda, V., Sandesh Laghave, H., Rajendra Lahoti, P., Indurao Langhi, R., & Bhaskar, T. (2025). Cloud-Based Optimization of Power Consumption Using IoT. Journal of Innovations in Data Science and Big Data Management, 4(2), 32–40. Retrieved from https://matjournals.net/engineering/index.php/JIDSBDM/article/view/2164

Issue

Volume 4 Issue 2 (May-August 2025)

Section

Articles