METHOD AND SYSTEM FOR FORECASTING DEMAND WITH RESPECT TO AN ENTITY
Method and system is disclosed for forecasting demand with respect to an entity. The method comprises receiving a plurality of input data-sets associated with time-series data, wherein each of said data-sets refers a time-based variation of one or more variables in accordance with a designated time-...
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Main Authors | , , , |
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Format | Patent |
Language | English |
Published |
24.02.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Method and system is disclosed for forecasting demand with respect to an entity. The method comprises receiving a plurality of input data-sets associated with time-series data, wherein each of said data-sets refers a time-based variation of one or more variables in accordance with a designated time-interval. At least one transformation-result is generated by transforming time-intervals of at least one input dataset based on a plurality of time interval transformation models. A plurality of first intermediate forecast results are predicted based on a plurality of demand forecasting models from the at-least one transformation result. An aggregated result is generated from the plurality of the first intermediate forecast results through an ensemble-model to thereby render said aggregated result as a final prediction result. |
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Bibliography: | Application Number: US202017001025 |