Google llc (20250013937). Holiday Modeling in Forecasting: Difference between revisions
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==Inventor(s)== | ==Inventor(s)== | ||
[[:Category:Honglin Zheng of Seattle WA | [[:Category:Honglin Zheng of Seattle WA US|Honglin Zheng of Seattle WA US]][[Category:Honglin Zheng of Seattle WA US]] | ||
[[:Category:Haoming Chen of Kirkland WA | [[:Category:Haoming Chen of Kirkland WA US|Haoming Chen of Kirkland WA US]][[Category:Haoming Chen of Kirkland WA US]] | ||
[[:Category:Jun Ya Zhang of Kirkland WA | [[:Category:Jun Ya Zhang of Kirkland WA US|Jun Ya Zhang of Kirkland WA US]][[Category:Jun Ya Zhang of Kirkland WA US]] | ||
[[:Category:Xi Cheng of Kirkland WA | [[:Category:Xi Cheng of Kirkland WA US|Xi Cheng of Kirkland WA US]][[Category:Xi Cheng of Kirkland WA US]] | ||
[[:Category:Weijie Shen of Mountain View CA | [[:Category:Weijie Shen of Mountain View CA US|Weijie Shen of Mountain View CA US]][[Category:Weijie Shen of Mountain View CA US]] | ||
[[:Category:Jiashang Liu of Kirkland WA | [[:Category:Jiashang Liu of Kirkland WA US|Jiashang Liu of Kirkland WA US]][[Category:Jiashang Liu of Kirkland WA US]] | ||
[[:Category:Mingge Deng of Kirkland WA | [[:Category:Mingge Deng of Kirkland WA US|Mingge Deng of Kirkland WA US]][[Category:Mingge Deng of Kirkland WA US]] | ||
[[:Category:Amir Hossein Hormati of Seattle WA | [[:Category:Amir Hossein Hormati of Seattle WA US|Amir Hossein Hormati of Seattle WA US]][[Category:Amir Hossein Hormati of Seattle WA US]] | ||
==Holiday Modeling in Forecasting== | ==Holiday Modeling in Forecasting== | ||
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This abstract first appeared for US patent application 20250013937 titled 'Holiday Modeling in Forecasting | This abstract first appeared for US patent application 20250013937 titled 'Holiday Modeling in Forecasting | ||
==Original Abstract Submitted== | ==Original Abstract Submitted== | ||
Latest revision as of 10:00, 25 March 2025
Holiday Modeling in Forecasting
Organization Name
Inventor(s)
Honglin Zheng of Seattle WA US
Haoming Chen of Kirkland WA US
Jun Ya Zhang of Kirkland WA US
Weijie Shen of Mountain View CA US
Jiashang Liu of Kirkland WA US
Amir Hossein Hormati of Seattle WA US
Holiday Modeling in Forecasting
This abstract first appeared for US patent application 20250013937 titled 'Holiday Modeling in Forecasting
Original Abstract Submitted
aspects of the disclosure are directed methods, systems, and computer readable media for in-database holiday effect modeling for time series forecasting. the modeling can be accurate, explainable, customizable, and scalable. machine learning models can receive a first dataset for time series data and a second dataset for configurable holiday data. the models can detect and model effects of each configurable holiday on one or more forecasts, effectively accumulating effects of overlapping holidays, to manage different levels of holiday modeling. holiday data can be customizable, including an ability to modify existing holidays and/or add new holidays, through one or more interfaces that can display default holiday information, combined holiday information based on both default and customizable holidays, effects of each holiday on forecasts, and accumulated effects of multiple holidays on forecasts.