Invention Grant
- Patent Title: Trained models for discovering target device presence
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Application No.: US17355780Application Date: 2021-06-23
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Publication No.: US11893487B2Publication Date: 2024-02-06
- Inventor: Selim Mimaroglu , Oren Benjamin , Arhan Gunel , Anqi Shen , Ziran Feng
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Potomac Law Group, PLLC
- Main IPC: G06N3/08
- IPC: G06N3/08 ; B60L53/60 ; G06N3/045 ; G06N3/044 ; G06Q50/06 ; G06Q30/0202

Abstract:
Embodiments generate machine learning predictions to discover target device energy usage. One or more trained machine learning models configured to discover target device energy usage from source location energy usage can be stored. Multiple instances of source location energy usage over a period of time can be received for a given source location. Using the trained machine learning model, multiple discovery predictions for the received instances of source location energy usage can be generated, the discovery predictions comprising a prediction about a presence of target device energy usage within the instances of source location energy usage. And based on the multiple discovery predictions, an overall prediction about a presence of target device energy usage within the given source location's energy usage over the period of time can be generated.
Public/Granted literature
- US20220414446A1 Trained Models for Discovering Target Device Presence Public/Granted day:2022-12-29
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