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This project introduces an Electricity Power Consumption Monitoring System utilizing the PZEM004T module for real-time monitoring of electrical parameters. The system aims to enhance energy efficiency, identify faulty devices, and provide intelligent load control through a mobile app. Employing machine learning algorithms, the system predicts power supply quality based on sensor values, offering a holistic solution for efficient power management.Key features include individual device current consumption monitoring, fault identification with real-time alerts, detailed device-specific power consumption information, overall energy consumption monitoring, overload protection, and remote load control via a mobile app. The system contributes to informed decision-making, energy conservation, and proactive maintenance. The project lays the groundwork for future advancements in renewable energy integration, user behavior analytics, and expanded applications in both residential and industrial settings.
Reshma et al. (2024) studied this question.