Holiday Modeling in Forecasting

Organization Name

google llc

Inventor(s)

Honglin Zheng of Seattle WA (US)

Haoming Chen of Kirkland WA (US)

Jun Ya Zhang of Kirkland WA (US)

Xi Cheng of Kirkland WA (US)

Weijie Shen of Mountain View CA (US)

Jiashang Liu of Kirkland WA (US)

Mingge Deng 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.