PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 16, 20260 citationsOpen Access

Smart Power Monitoring System For Home Appliances

View Full Paper
SSSatyam SharmaJKJakkala Sanjay KumarSHS. Harshavardan

Key Points

  • The aim is to create an intelligent monitoring system for real-time tracking of home energy usage and appliance-level consumption.
  • Design and implement an IoT-based power monitoring system
  • Use ZMPT101B and ACS712 sensors for voltage and current measurement
  • Interface sensors with an ESP32 microcontroller
  • Transmit data securely to cloud platforms like ThingSpeak and Blynk
  • Implement a relay for load disconnection during abnormal conditions
  • The system provides real-time insights into energy consumption at the appliance level
  • It enhances safety by disconnecting loads during irregular conditions
  • Users can access energy data via mobile or web dashboards
  • The solution is designed to be low-cost, scalable, and energy-efficient

Abstract

Rapid growth in residential electricity consumption has created a strong need for intelligent and user-friendly monitoring solutions that can help users understand and control their energy usage. Traditional energy meters provide only cumulative readings and do not offer real-time insights into appliance-level consumption. This paper presents the design and implementation of an IoT-based Smart Power Monitoring System for home appliances that enables continuous monitoring and remote access to electrical parameters. The proposed system measures real-time voltage, current, power, and energy consumption using ZMPT101B voltage and ACS712 current sensors interfaced with an ESP32 microcontroller. The ESP32 processes sensor data and transmits it securely to cloud platforms such as ThingSpeak and Blynk via Wi-Fi, allowing users to visualize and analyze energy usage through mobile or web dashboards. In addition, the system incorporates a relay-based protection mechanism that automatically disconnects the load during abnormal conditions such as overcurrent, voltage fluctuations, or excessive power consumption. This feature helps prevent electrical damage and improves system safety. The proposed solution is low-cost, scal-able, and energy-efficient, making it suitable for residential envi-ronments as well as small industrial applications. By providing real-time monitoring, data analytics, and remote accessibility, the system promotes energy awareness, reduces electricity wastage, and supports the development of smarter and more sustainable energy management systems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sharma et al. (2026) studied this question.

synapsesocial.com/papers/69e07e242f7e8953b7cbf26ehttps://doi.org/10.5281/zenodo.19569819
Ask AI
Helpful
Bookmark
Share
View Full Paper