TL;DR
A MATLAB-/Simulink-based IoT framework for quantitative evaluation of data quality in solar–electric vehicle-integrated energy systems provides an organized method for assessing IoT data quality in applications related to energy systems.
The complete gateway hardware cost is under USD 4, making the approach economically viable for retrofitting legacy industrial monitoring installations, and positioned as a retrofit enabler for medium-voltage feeders that supply sustainable transportation infrastructure such as electric-vehicle chargers and urban-rail s...
The findings indicate that integrating IoT technology with cloud communication and MATLAB analytics provides a practical, low-cost, and scalable solution for intelligent energy monitoring.
The proposed system encompasses ESP32 microcontroller integrated with ZMPT101B voltage sensor and SCT-013 current sensors and the collected data is then processed using the EmonLib library in order to evaluate voltage, current, power, power factor, and energy consumption.
Water quality management in large-scale institutional infrastructures faces significant challenges due to the high latency of manual sampling and the energy–connectivity trade-offs in traditional IoT deployments. This paper proposes HydroSense AI, a robust three-tier IoT framework designed for real-time multi-parameter...
The increasing complexity of residential energy systems and the growing penetration of distributed resources require practical energy-management solutions that extend beyond conventional metering. This paper presents the design and implementation of a real-time Internet of Things (IoT)-based energy-management system fo...
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