HIERARCHICAL TIME-SERIES PREDICTION METHOD
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专利名称：HIERARCHICAL TIME-SERIES PREDICTION
METHOD
发明人：Davide Burba,Trista Pei-Chun CHEN
申请号：US17132133
申请日：20201223
公开号：US20220156555A1
公开日：
20220519
专利内容由知识产权出版社提供
专利附图：
摘要：A hierarchical time-series prediction method is adapted to a plurality of
reconciled predictions of a plurality of nodes of a hierarchical structure. The plurality of nodes have a plurality of time-series respectively, the plurality of reconciled predictions
correspond to the plurality of time-series, the plurality of nodes comprises a plurality of bottom nodes, and the hierarchical time-series prediction method comprises: generating a plurality of individual predictions corresponding to the plurality of time-series respectively by a plurality of predictive models; generating a plurality of bottom-level predictions corresponding to the plurality of bottom nodes according to the plurality of individual predictions and an encoder network; and generating the plurality of reconciled predictions according to the plurality of bottom-level predictions and a decoder associated with the hierarchical structure.
申请人：Inventec (Pudong) Technology Corporation,INVENTEC CORPORATION
地址：Shanghai CN,Taipei TW
国籍：CN,TW
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