US 2024/0255906 A1 · SYSTEM AND METHOD FOR DETERMINING DEMAND SHEDDING EVENTS FOR ENERGY MANAGEMENT

Abstract

A method including determining, via a machine learning model, a predicted energy load profile for a facility based at least in part on weather forecast data and sensor data for the facility. The sensor data can be received from one or more energy monitoring sensors for one or more devices in the facility. The method further can include determining one or more demand shedding time slots based at least in part on peak periods and the predicted energy load profile. Moreover, the method can include determining one or more demand shedding events for the one or more devices to be scheduled during the one or more demand shedding time slots. The method additionally can include causing a respective performance of each of the one or more demand shedding events by the one or more devices during the one or more demand shedding time slots. Other embodiments are disclosed.

Claims20

Dependent claims

A system comprising:

one or more processors;
and
one or more non-transitory computer-readable media storing computing instructions that, when run on the one or more processors, cause the one or more processors to perform:
determining, via a machine learning model, a predicted energy load profile for a facility based at least in part on weather forecast data and sensor data for the facility, wherein:
the sensor data are received from one or more energy monitoring sensors for one or more devices in the facility;
determining one or more demand shedding time slots based at least in part on peak periods and the predicted energy load profile;
determining one or more demand shedding events for the one or more devices to be scheduled during the one or more demand shedding time slots;
and
causing a respective performance of each of the one or more demand shedding events by the one or more devices during the one or more demand shedding time slots.

6 more elements

A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media, the method comprising:

determining, via a machine learning model, a predicted energy load profile for a facility based at least in part on weather forecast data and sensor data for the facility, wherein:
the sensor data are received from one or more energy monitoring sensors for one or more devices in the facility;
determining one or more demand shedding time slots based at least in part on peak periods and the predicted energy load profile;
determining one or more demand shedding events for the one or more devices to be scheduled during the one or more demand shedding time slots;
and
causing a respective performance of each of the one or more demand shedding events by the one or more devices during the one or more demand shedding time slots.

3 more elements

Dependencies are inferred from the claim text.

System and method for determining demand shedding events for energy management

Life of this patent

System and method for determining demand shedding events for energy management

Life of this patent

Abstract

Claims20