	US 12,149,075 B1
	Extensible and dynamically updated energy management system
Qiao Li, Denver, CO (US); Mahdi Motalleb, Denver, CO (US); and Reza Ghorbani, Honolulu, HI (US)
Assigned to Wattmore, Inc., Denver, CO (US)
Filed by Wattmore, Inc., Denver, CO (US)
Filed on May 15, 2024, as Appl. No. 18/665,147.
Claims priority of provisional application 63/466,493, filed on May 15, 2023.
Int. Cl. H02J 3/00 (2006.01)

CPC H02J 3/004 (2020.01) [H02J 3/003 (2020.01); H02J 2203/10 (2020.01); H02J 2203/20 (2020.01)]

3 Claims

1. A computer-implemented method, comprising:

receiving operational data for a power system managed by an energy management system (EMS), wherein:

an equipment of the power system includes at least one of power generation equipment, power storage equipment, power conversion equipment, and a load; and

the EMS includes a forecasting model configured to receive power consumption and generation data for the power system as input and to output predicted power consumption and generation data; and

the EMS further includes an optimization model configured to receive the predicted power consumption and generation data as input and to output a control parameter value for equipment of the power system according to an optimization goal;

determining an updated model parameter for a master model based on the operational data including power generation data or power consumption data for equipment of the power system wherein the master model corresponds to one of the forecasting model and the optimization model;

transmitting the updated model parameter to the EMS, wherein, when the updated model parameter is received by the EMS, the EMS updates the one of the forecasting model and the optimization model according to the updated model parameter;

receiving power grid data for a power grid electrically coupled to the power system, wherein determining the updated model parameter is further based on the power grid data including at least one of:

cost data for power provided by the power grid;

emissions data for power provided by the power grid; and demand data for power provided by the power grid;

receiving environmental data for a geographic region around the power system wherein: the environmental data including at least one of:

temperature data for the geographic region;

wind data for the geographic region;

cloud cover data for the geographic region;

precipitation data for the geographic region;

sunlight data for the geographic region; and

daylight data for the geographic region;

the updated model parameter is further determined and or based on the power grid data; and

wherein the optimization goal includes at least one of energy consumption reduction by the power system, emissions reduction, and cost reduction.