🔌 Load Monitoring and Energy Disaggregation on a RasPi
AMBAL-based NILM Trace generator
Snap a photo of your appliance and get instant AI-powered energy analysis, electricity cost estimates, and energy-saving tips.
Predicting home appliances electric consumption by using data provided by a IoT system, applying data wrangling, feature engineering, normalization and different prediction models.
Complete set of electrical parameters, including energy consumption, power quality, and all harmonic contents (up to 2kHz). Time-synchronous data reported from real buildings and appliances at 1 second intervals.
Add a description, image, and links to the appliance-level-consumption topic page so that developers can more easily learn about it.
To associate your repository with the appliance-level-consumption topic, visit your repo's landing page and select "manage topics."