The thesis presents an Internet of Things (IoT) system based on ESP32 microcontrollers, which uses sensors and actuators to measure energy consumption and manage heating devices in households. The key idea is to reduce electricity costs by scheduling consumption during time slots when electricity prices are lower. The system uses electricity price data and calculates the heating demand for the next day, and based on this information, it automates energy consumption using smart plugs and infrared controllers for heating devices. The thesis covers the development of both hardware and software, the communication flow between devices and the server, the time optimization algorithm, and an analysis of the system's efficiency.
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