Design and fabrication of an IoT-based smart electrical meter  for residential energy management

Nguyen, Thanh Ba; Nguyen, Tri Cao

doi:10.11591/ijeecs.v30.i3.pp1259-1268

Cited by 1 publication

(1 citation statement)

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“…It is a highly versatile and widely used microcontroller that belongs to the ESP8266/ESP32 family of products developed by the company Espressif Systems. The ESP32 has gained great popularity in the development community due to its Wi-Fi and Bluetooth connectivity capabilities, low cost, and extensive feature set [18] [19]. It offers a wide range of GPIO pins, sufficient processing power and memory, as well as integrated peripherals such as SPI, I2C, and UART.…”

Section: Esp32 Hardware Modulementioning

confidence: 99%

Evaluation of an Indoor Location System Using Edge Computing and Machine Learning Algorithms

Yauri,

Espino,

Castro

2024

Int. J. Onl. Eng.

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The paper aims to evaluate precise location techniques with indoor devices using edge computing technologies, which are important for services such as smart homes and health. Despite their growing importance, indoor locations lack precise and standard methods, especially in complex environments. Solving this is being attempted through technologies such as reconfigurable surfaces and deep learning models, with attention to overcoming the challenges of indoor placement. The main objective of the study is to design a low-cost indoor location system using the ESP32 module and RSSI signals, integrated with embedded machine learning algorithms. The system to be developed will allow determining the location of objects or people with a location device through SSID signals from access points. The main objective is to evaluate the performance of three machine learning algorithms—random forest (RF), decision tree (DT) and support vector machine (SVM)—in the detection of four different locations (bathroom, kitchen, bedroom, and living room), involving the definition of system characteristics, data acquisition, the development of classifiers, and their integration in the ESP32 module to transmit location data wirelessly through the MQTT protocol. As a result of the evaluation, the DT model stands out for its efficiency under limited resource conditions during real-time implementation, but it may face challenges related to overfitting and resources at the implementation stage.

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Section: Esp32 Hardware Modulementioning

confidence: 99%