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itorshin/simple-heat-disaggr-cnn
simple-heat-disaggr-cnn is a machine learning model from itorshin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
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 architect…
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Updated Sep 18, 2026
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From the Hugging Face model README
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.