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US Patent 11295217 Localized temporal model forecasting

Patent 11295217 was granted and assigned to Uptake Technologies on April, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Uptake Technologies
Uptake Technologies
1
Current Assignee
Uptake Technologies
Uptake Technologies
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
112952171
Patent Inventor Names
James Herzog1
Date of Patent
April 5, 2022
1
Patent Application Number
149961541
Date Filed
January 14, 2016
1
Patent Citations Received
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US Patent 12001926 Systems and methods for detecting long term seasons
2
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US Patent 11670020 Seasonal aware method for forecasting and capacity planning
3
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US Patent 11663290 Analyzing time series data for sets of devices using machine learning techniques
4
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US Patent 11836162 Unsupervised method for classifying seasonal patterns
5
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US Patent 11887015 Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems
6
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US Patent 11928760 Systems and methods for detecting and accommodating state changes in modelling
7
Patent Primary Examiner
‌
Tsu-Chang Lee
1
CPC Code
‌
G06N 5/04
1
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G06N 5/045
1

Disclosed herein are systems, computer-readable media, and methods related to modeling on multivariate time series data overlaid with event data. In particular, some examples involve selecting one or more historical time series data arrays similar to a recent time series data array and filtering the similar historical time series data arrays based on event data. Some examples can also involve training a localized temporal forecasting model using the filtered historical time series data arrays. Some examples can include building and/or training the localized temporal forecasting model at or near a time that a forecast is needed.

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