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Notebooks train models to identify heat pumps, solar panels, and electric vehicles from electricity consumption data.

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HVAC_identification

This repository is documenting part of the development within MODERATE project. Use jupyter notebook XGBoost.ipynb for training and testing ML models on time series to predict labels of time series as explained in the jupyter notebook itself. You can find the original repository in https://github.com/MoSharrif/HVAC_identification

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Notebooks train models to identify heat pumps, solar panels, and electric vehicles from electricity consumption data.

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