Sign inSign up

khaledhenchir/final_iot

By khaledhenchir

•Updated over 1 year ago

NILM model for energy consumption prediction on an emulated Beaglebone Black board environment.

Image
Internet of things
Machine learning & AI
0

108

khaledhenchir/final_iot repository overview

šŸ‹ 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.

āš™ļø Features :

🟢 BeagleBone Black emulation for seamless development.
šŸ¤– Integrated NILM AI model for real-time energy monitoring.
šŸ“Š Data acquisition, processing, and visualization.
šŸš€ Lightweight, portable, and ready for deployment.

Tag summary

Content type

Image

Digest

sha256:fc237cd91…

Size

2.8 GB

Last updated

over 1 year ago

docker pull khaledhenchir/final_iot