Patent · US Active

Learning power grid characteristics to anticipate load

US10628762B2 · kind B2 · utility

2Cited by
0References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateApr 9, 2018
Grant dateApr 21, 2020
Priority date
Expiry dateMay 8, 2038

Classification

  • Technology area (CPC Y)Emerging Cross-Sectional Technologies
  • CPC primaryY04S10/50
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

Improving the operations of a data center that is located within a power grid and that includes its own power sources. Past operational characteristics of the power grid are analyzed to derive learned characteristics for the power grid. Current and/or future operational characteristics of the power grid are also monitored. A prediction regarding an upcoming, anticipated load for the power grid is then generated using the learned characteristics and the monitored characteristics. In response to this prediction, one or more mitigation operations are selected and then performed at the data center to ensure that the data center is adequately available. Some of these mitigation operations include, but are not limited to, causing the data center to consume more power, causing the data center's power sources to store more power, or causing the data center to migrate services and/or data to a different data center.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.