US Patent Issued to Ciena on Jan. 13 for "Forecasting recurring anomalies in time series data" (Canadian, Indian Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,524,713, issued on Jan. 13, was assigned to Ciena Corp. (Hanover, Md.).

"Forecasting recurring anomalies in time series data" was invented by Saurabh Dinesh Brahmankar (Nagpur, India), Christopher Ryan Barber (Ottawa) and Minming Ni (Kanata, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for forecasting recurring anomalies in time series data include determining forecast data from historical data of time series data where the forecast data is for a desired future time span; combining the forecast data with the historical data to form a combined time series; determining a normal operating range using the combined time series; d...