Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 04:44:10am America, Santiago
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Daily Overview |
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37A: Electronics Virtual location: VIRTUAL: Agora Meetings | |
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5:24pm - 5:32pm
Application of a smart electricity meter to improve electricity consumption analysis 1: Universidad de Ciencias y Humanidades - (PE); 2: Universidad Nacional del Callao - (PE); 3: Universidad Nacional Tecnológica de Lima Sur - (PE); 4: Universidad César Vallejo - (PE) This research presents the development and evaluation of a smart electrical meter designed to measure, analyze, and remotely monitor key power-quality parameters using low-cost sensors and an ESP32 microcontroller. The system captures voltage and current through SCT-013-100 and ZMPT101B sensors, processes the data locally, and transmits it via Wi-Fi to a cloud platform, where users can visualize measurements in real time through a mobile application. Machine-learning techniques, including Empirical Mode Decomposition (EMD), Kernel PCA, and Support Vector Machines (SVM), were implemented to extract features and classify electrical consumption patterns. Experimental validation showed high accuracy in voltage readings, with errors near ±1.10% for low loads and around 0.5% compared to a professional CW500 meter. Current measurements remained acceptable, despite occasional deviations linked to synchronization differences. The system also accurately registered frequency stability at 60 Hz and enabled harmonic-distortion and active-power analysis. Overall, the smart meter demonstrated reliable performance for real-time monitoring and represents a scalable, low-cost solution for energy-quality assessment | |