Interpolation techniques used for time alignment of multiple simulation models

摘要

Embodiments include a method, system, and computer program product for performing time alignments. The method includes receiving a specification request for generating a set of target time-series data from a set of source time-series data and obtaining specification information relating to the set of target time-series data and relating to the set of source time-series data. The specification also includes time intervals between data values. The method also includes converting the set of source time-series data to the set of target time-series data, wherein said converting includes calculating a set of cubic-spline interpolation constants.

主权项

1. A method, comprising:
receiving a request for generating a set of target time-series data from a set of source time-series data; obtaining specification information relating to said set of target time-series data and obtaining specification information relating to said set of source time-series data, said specifications information for said source time-series data and said target time-series data including time intervals between data values, the source time-series data having different time variables than time variables associated with the target time-series data; and converting said set of source time-series data to said set of target time-series data, wherein said converting includes calculating a set of cubic-spline interpolation constants via a stochastic gradient descent technique.