Improving Non-Intrusive Load Monitoring System Based on Field Programmable Gate Array
Keywords:
non-intrusive load monitoring, field programmable gate array, smart homeAbstract
Development of smart home and smart grid recently require the energy measurement techniques and devices to monitor the current, voltage and power. Non-Intrusive Load Monitoring--NILM technique has become one of the most relevant alternatives for energy disaggregation, which intends to separate the total power consumption into specific appliance loads. This research investigated improving Non-Intrusive Load Monitoring system based-on Field Programmable Gate Array--FPGA. FPGA is used to monitor and classify the appliance loads with the digital binary technique in the real-time system, accordingly. The advantage of the FPGA is high sampling ratio and parallel computation. The results show that NILM with FPGA can be useful for monitoring and classifying the appliance loads. The experiment system provides exactly 100% accuracy based on a sampling per second in real time conditions and it can be developed for faster computation and classification for the future.
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