mahnoor-shahid/seq2point
Easy to implement and customize an end-to-end machine learning pipeline for training the archiecture of seq2point model for energy disaggregation. Run experiments and analyze training procedures or models with ease.
This project helps energy companies or smart home developers analyze household electricity consumption without needing to install individual meters on every appliance. You provide raw whole-home energy data, and it outputs predictions of specific appliance usage (like a kettle or microwave). This is useful for those aiming to understand or optimize energy usage at a granular level.
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Use this if you need to determine the energy consumption of individual appliances from a single main energy meter reading.
Not ideal if you're looking for a simple plug-and-play solution without any machine learning setup or data preparation.
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Last pushed
Feb 23, 2023
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