US 12,423,487 B2
Multi-locational forecast modeling in both temporal and spatial dimensions
Zhengliang Xue, Yorktown Heights, NY (US); Bhavna Agrawal, Armonk, NY (US); Anuradha Bhamidipaty, Yorktown Heights, NY (US); Yingjie Li, Chappaqua, NY (US); and Shuxin Lin, White Plains, NY (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Aug. 27, 2021, as Appl. No. 17/458,728.
Prior Publication US 2023/0073564 A1, Mar. 9, 2023
Int. Cl. G06F 30/20 (2020.01); G06Q 40/06 (2012.01); G06F 111/04 (2020.01)
CPC G06F 30/20 (2020.01) [G06F 2111/04 (2020.01); G06Q 40/06 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented forecast modeling method comprising:
generating a plurality of forecast models for a plurality of time periods, the time periods including short-term and long-term time periods, each forecast model of the plurality of forecast models being for a different time period for a plurality of geographic locations, the geographic locations including a plurality of geographic areas grouped hierarchically based the geographic size of the geographic areas;
temporally integrating the plurality of forecast models sequentially over the plurality of time periods for the plurality of locations; and
spatially integrating, by executing program instructions on a computer, the temporally integrated plurality of forecast models for each geographic location hierarchically over the geographic areas to generate a resultant spatially and temporally integrated forecast model;
generating, by the resultant spatially and temporally integrated forecast model, forecasting results in both the temporal and spatial dimensions; and
displaying the forecasting results comprising forecasts for all of the plurality of geographic locations for each of the short-term and long-term time periods.