🔌 Load Monitoring and Energy Disaggregation on a RasPi

AMBAL-based NILM Trace generator

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.

Snap a photo of your appliance and get instant AI-powered energy analysis, electricity cost estimates, and energy-saving tips.