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Danish startup Float collects 1Hz smart meter data from hundreds of homes and uses a proprietary ML model to disaggregate consumption per appliance. The three-person team achieved 99.3% compression on Tiger Data's TimescaleDB, making the storage economics viable for a flat-rate subscription model.
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