NILM model for energy consumption prediction on an emulated Beaglebone Black board environment.
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š NILM AI Model on BeagleBone Black (Emulated)
This Docker image emulates a BeagleBone Black environment to deploy and test a Non-Intrusive Load Monitoring (NILM) AI model. It enables energy disaggregation from power consumption data, identifying individual appliance usage without separate sensors.
āļø Features :
š¢ BeagleBone Black emulation for seamless development.
š¤ Integrated NILM AI model for real-time energy monitoring.
š Data acquisition, processing, and visualization.
š Lightweight, portable, and ready for deployment.
Content type
Image
Digest
sha256:fc237cd91ā¦
Size
2.8 GB
Last updated
over 1 year ago
docker pull khaledhenchir/final_iot