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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Bibliographic Details
Main Authors Paul, Debdeep, Huang, Yizhou, Kek, Khai Jun, Yin, Yongning
Format Patent
LanguageEnglish
Published 24.02.2022
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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.
Bibliography:Application Number: US202017001025