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公开(公告)号:US20240020573A1
公开(公告)日:2024-01-18
申请号:US17862765
申请日:2022-07-12
Applicant: Google LLC
Inventor: Wangyang Zhang , Leyou Zhang , Rajarishi Sinha , Michael Peter Perrone , Andrew James McGehee , Dawei Jia , Jingtao Wang
Abstract: Aspects of the disclosure are directed to an approach for extending forecasting models to various levels of granularity. The approach can include receiving a target level of granularity for distributing a forecast, performing forecast modeling at an aggregated level of granularity, and determining a distribution method to distribute results of the forecast model at the target level of granularity. The approach can improve performance over existing forecasting models with minimal overhead.