SYSTEMS AND METHODS FOR REGRESSION-BASED DETERMINATION OF EXPECTED ENERGY CONSUMPTION AND EFFICIENT ENERGY CONSUMPTION

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250078178A1
SERIAL NO

18952203

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Abstract

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Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to identify a set of features associated with at least one of a collection of residences or an energy billing period. Measured energy consumption information and a plurality of feature values can be acquired for each residence in the collection of residences. Each feature value in the plurality of feature values can correspond to a respective feature in the set of features. A regression model can be trained based on the measured energy consumption information and the plurality of features values for each residence in the collection of residences. At least one expected consumption value and at least one efficient consumption value can be determined based on the regression model.

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Patent Owner(s)

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C3 AI INCREDWOOD CITY CA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Haghighi, Mehdi Maasoumy Redwood City, US 14 5
Kolter, Jeremy Pittsburgh, US 48 56
Ohlsson, Henrik Redwood City, US 26 103

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