FORECASTING DATASETS USING BLEND OF TEMPORAL AGGREGATION AND GROUPED AGGREGATION
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United States of America
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Issued Date -
Oct 31, 2024
app pub date -
Apr 26, 2023
filing date -
Apr 26, 2023
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Abstract
Techniques are described herein for forecasting datasets using blend of temporal aggregation and grouped aggregation. An example method can include a device accessing a first and second time series, comprising a first data point associated with a first time step and a first value and a second data point associated with a second time step and a second value. The method can further include the device determining a grouped aggregated data point using the first and second time series by aligning the first and second data point. The method can further include the device determining the grouped aggregated data point by summing the first and second value. The method can further include determining a grouped aggregated time series. The method can further include the device determining a first set of input values for a machine learning model. The method can further include the device determining a first forecasted future value.
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