TIME SERIES FORECASTING USING SPECTRAL TECHNIQUE
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United States of America Patent
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Issued Date -
Mar 3, 2016
app pub date -
Aug 27, 2015
filing date -
Aug 27, 2014
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Abstract
A system and method provide spectral forecasting using a time series data set, wherein the time series data set includes one or more seasonality patterns, the system comprising a data collection module, wherein the data collection module is configured to record one or more recordings. Further, the system includes a filter, wherein the filter is configured to clean the one or more recordings made by the data collection module. Furthermore, the system includes a time series historian configured to store the cleaned one or more recordings as a time series data set. In addition, the system includes a determination module, the determination module comprising one or more processors and a non-transitory memory containing instructions that, when executed by said one or more processors, cause said one or more processors to perform a set of steps.
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