Microcontroller Based Real-Time Power Monitoring Module by Hybrid Power Factor Selection Algorithm

In this work, a hardware module is developed to monitor real-time power consumption of home appliances at regular time intervals. The module comprises one microcontroller units, a voltage sensor, and five current sensors. This paper introduces a cost-effective and easy to deploy Hybrid Power Factor (PF) Selection Algorithm (HPFSA), which enables active power measurement with good accuracy and minimizes the required hardware components for this module. The developed module considers PF computation error with supply frequency variation through HPFSA and gives accurate value of true power in real-time. Additionally, it can sense the total energy consumption of various appliances distributed throughout the home and send the consumed power data to the cloud for remote monitoring. This real-time load monitoring of home appliances is essential for applications such as energy conservation, smart home automation, and load management.

Authors

Institutions

Publication Details

Journal
IEEE Embedded Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/les.2025.3602829
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microcontroller Based Real-Time Power Monitoring Module by Hybrid Power Factor Selection Algorithm

A.K. Dey, Supratik Mondal, B. Chakraborty, Sovan Dalai et al.
IEEE Embedded Systems Letters
Advanced Sensor and Control Systems
article

Microcontroller Based Real-Time Power Monitoring Module by Hybrid Power Factor Selection Algorithm

A.K. Dey, Supratik Mondal, B. Chakraborty, Sovan Dalai, Kesab Bhattacharya
article en

Abstract

In this work, a hardware module is developed to monitor real-time power consumption of home appliances at regular time intervals. The module comprises one microcontroller units, a voltage sensor, and five current sensors. This paper introduces a cost-effective and easy to deploy Hybrid Power Factor (PF) Selection Algorithm (HPFSA), which enables active power measurement with good accuracy and minimizes the required hardware components for this module. The developed module considers PF computation error with supply frequency variation through HPFSA and gives accurate value of true power in real-time. Additionally, it can sense the total energy consumption of various appliances distributed throughout the home and send the consumed power data to the cloud for remote monitoring. This real-time load monitoring of home appliances is essential for applications such as energy conservation, smart home automation, and load management.

IEEE Embedded Systems Letters
Jadavpur University (IN), Indian Institute of Engineering Science and Technology, Shibpur (IN)
Affordable and clean energy
Openalex Percentile: Top 73%
Advanced Sensor and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Microcontroller Based Real-Time Power Monitoring Module by Hybrid Power Factor Selection Algorithm — A.K. Dey, Supratik Mondal, et al. · IEEE Embedded Systems Letters (2025) | TGRS Research Map | TGRS