Invention Grant
- Patent Title: Method and devices for optimizing backup power control using machine learning
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Application No.: US17260328Application Date: 2018-07-19
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Publication No.: US11418053B2Publication Date: 2022-08-16
- Inventor: Lackis Eleftheriadis , Christofer Flinta , Valentin Kulyk , Konstantinos Vandikas , Abhishek Sarkar
- Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
- Applicant Address: SE Stockholm
- Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
- Current Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
- Current Assignee Address: SE Stockholm
- Agency: Patent Portfolio Builders PLLC
- International Application: PCT/EP2018/069633 WO 20180719
- International Announcement: WO2020/015830 WO 20200123
- Main IPC: H02J9/06
- IPC: H02J9/06 ; G06N20/00

Abstract:
Methods and devices optimize backup power management for network devices connected to backup power sources including two different batteries. Machine learning techniques are used to predict upcoming power outages affecting the network device based on power-related historic information and current conditions. A backup-power operation plan prescribing usage of the backup power sources during the predicted power outages is then generated. The backup-power operation plan schedules a battery among the backup power devices to be used at least twice without being recharged.
Public/Granted literature
- US20210296926A1 METHOD AND DEVICES FOR OPTIMIZING BACKUP POWER CONTROL USING MACHINE LEARNING Public/Granted day:2021-09-23
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