Intelligent Power Usage Analytics for Optimized Home

The Intelligent Power Usage Analytics for Optimized Home designs a smart electricity monitoring system, using a CNN-LSTM combined NILM model for real-time monitoring of energy usage at an appliance level. It uses a smart meter PZEM-004T, ESP32 Microcontroller, a cloud server, and a Flutter mobile application for proper data visualization. CNN-LSTM model used for appliance-level energy disaggregation, which can effectively used to find individual appliance consumption. The system also includes an anomaly detection feature that identifies unusual consumption patterns and alerts users when specific thresholds are exceeded. The objective is to make energy usage more efficient, hence reducing electricity costs, and provide reports on key information on appliance consumption.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1109/iceti4t63625.2025.11132284
Primary Topic
Energy and Environmental Systems
Type
article
Field-Weighted Citation Impact
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article

Intelligent Power Usage Analytics for Optimized Home

Palwasha Afsar, K T . Jitha, Mohammed Sinan, Mohammed Gaffoor K et al.
Energy and Environmental Systems
article

Intelligent Power Usage Analytics for Optimized Home

Palwasha Afsar, K T . Jitha, Mohammed Sinan, Mohammed Gaffoor K, Mohammed Rabeeh
article en

Abstract

The Intelligent Power Usage Analytics for Optimized Home designs a smart electricity monitoring system, using a CNN-LSTM combined NILM model for real-time monitoring of energy usage at an appliance level. It uses a smart meter PZEM-004T, ESP32 Microcontroller, a cloud server, and a Flutter mobile application for proper data visualization. CNN-LSTM model used for appliance-level energy disaggregation, which can effectively used to find individual appliance consumption. The system also includes an anomaly detection feature that identifies unusual consumption patterns and alerts users when specific thresholds are exceeded. The objective is to make energy usage more efficient, hence reducing electricity costs, and provide reports on key information on appliance consumption.

Economic and Law Institute in Moscow (RU)
Affordable and clean energy
Openalex Percentile: Top 77%
Energy and Environmental Systems
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