itorshin/simple-heat-disaggr-cnn

Gridly heating-load disaggregation CNN

This CNN predicts a 96-step electrical heating profile from one day of total electricity load and outside temperature. Load input and target values use kWh per 15-minute interval. The checkpoint contains the architecture configuration, normalization statistics, target scale, channel names, and model weights needed by the Gridly backend.