Adaptive forecasting of time-series
US10318669B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2016 |
| Grant date | Jun 11, 2019 |
| Priority date | — |
| Expiry date | May 16, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
For a time-series, a baseline error value is reduced to compute a target forecast error value by maximizing a net benefit value of a forecasted value of the time-series. For each forecasting model in a set of models, a corresponding model error value related to the time-series is computed. From the set, a subset of models is selected where each model in the subset has a cost that will produce a positive value for the net benefit. A selected model from the subset is associated with the time-series such that a model error value of the selected model is at most equal to the target forecast error. The time-series is forecasted using the selected model such that the forecasted value has an error of less than the baseline error at a future time, and the forecasted value produces a positive net benefit at the future time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.