IoT-enabled energy consumption monitoring and analysis for domestic appliances

Maidin, Mohammad Noor Firdaus (2024) IoT-enabled energy consumption monitoring and analysis for domestic appliances. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Rising energy consumption issues, such as high appliance usage, the absence of user-friendly management systems, and inadequate predictive control algorithms, are increasingly affecting every sector of society, remaining challenging and uncontrolled. This thesis aims to address these critical concerns by proposing an IoT-integrated system with manual and automatic modes, leveraging Blynk app integration and employs artificial neural networks to analyse and predict household energy consumption patterns accurately. This project uses SCT-013 and ZMPT101B for energy monitoring, ESP 32 Microcontroller, and environmental sensor (PIR, DHT22, BH1750) for appliance control, this project integrates Blynk for controlling and monitoring, ThingSpeak to save historical data, Arduino IDE, and MATLAB for analysis. The analysis will compare manual and auto mode appliances and evaluating forecasting performance. Results indicate auto mode's higher efficiency through incremental energy consumption analysis, with forecasting effectiveness confirmed by detailed performance and regression plot analysis. In conclusion, this thesis demonstrates the effectiveness of an IoT-based system in enhancing energy management and predicting consumption patterns, significantly improving efficiency of energy consumption usage in various societal sectors.

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