US Patent Issued to International Business Machines on Nov. 25 for "Time series forecasting with exogenous variable data" (New York Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,481,917, issued on Nov. 25, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Time series forecasting with exogenous variable data" was invented by Syed Yousaf Shah (Yorktown Heights, N.Y.), Petros Zerfos (New York) and Xuan-Hong Dang (Chappaqua, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Providing time-series forecasting by receiving target variable data and exogenous variable data, training a plurality of time-series models according to the target variable data and the exogenous variable data, determining a historical error for each of the plurality of time series models, and providing a time-series forecasting model havi...