CPC H02J 13/00004 (2020.01) [F24F 11/30 (2018.01); F24F 11/62 (2018.01); G05B 15/02 (2013.01); H02J 3/14 (2013.01); H02J 13/00002 (2020.01); F24F 11/46 (2018.01); F24F 11/52 (2018.01); F24F 11/63 (2018.01); F24F 2130/00 (2018.01); F24F 2130/10 (2018.01); F24F 2140/60 (2018.01); G05B 2219/2642 (2013.01); H02J 3/00 (2013.01); H02J 2203/20 (2020.01); Y02B 70/30 (2013.01); Y02B 70/3225 (2013.01); Y04S 20/20 (2013.01); Y04S 20/222 (2013.01)] | 20 Claims |
1. A building energy management system of a building comprising:
one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to:
collect data samples of one or more variables of the building from building equipment and generate a resource consumption timeseries indicating resource consumption of the building at a plurality of points in time, the resource consumption timeseries including the data samples;
perform one or more energy analytics using the resource consumption timeseries and generate an energy usage metric timeseries comprising a plurality of result samples indicating an energy usage metric for the building;
generate a results timeseries by removing an effect of weather from the resource consumption timeseries, wherein removing the effect of weather from the resource consumption timeseries includes:
generating a regression model that defines a relationship between the data samples of the resource consumption timeseries and one or more weather-related variables;
determining values of the one or more weather-related variables during a time period associated with the resource consumption timeseries;
applying values of the one or more weather-related variables as inputs to the regression model to estimate weather-normalized values of the data samples; and
storing the weather-normalized values of the data samples as the energy usage metric timeseries; and
operate, using the energy usage metric timeseries, a piece of the building equipment.
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