Training power models using network data
AssigneeSense Labs, Inc.
InventorsJonah Wyman Petri, Ghinwa F. Choueiter, Christopher M. Micali, Michael S. Phillips
Life of this patent
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AssigneeSense Labs, Inc.
InventorsJonah Wyman Petri, Ghinwa F. Choueiter, Christopher M. Micali, Michael S. Phillips
Estimating the term…
Power models may be used to identify devices in a building or state changes of devices in a building by processing a power monitoring signal with the power models. A power model for a device may be trained using examples of power monitoring signals corresponding to that device, and network monitoring may be used to identify training data for training power models for that device. Network monitoring may include receiving information about network packets transmitted by devices in the building and processing the information about the network packets to determine information about a state change of a first device in the building at a first time. A portion of the power monitoring signal that includes the first time may then be used to train a power model for the first device. The trained power model for the first device may then be deployed to a building where it used to perform power monitoring of the first device.
A system for training a power model for identifying devices or device state changes, the system comprising:
A method for training a power model for identifying devices or device state changes, the method comprising:
One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising:
Dependencies are inferred from the claim text.