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.
Authors
- Palwasha Afsar (ORCID: https://orcid.org/0000-0003-1024-1118)
- K T . Jitha
- Mohammed Sinan
- Mohammed Gaffoor K
- Mohammed Rabeeh
Institutions
- Economic and Law Institute in Moscow (RU)
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
- 0.00