Identifying an event associated with consumption of a utility
First Claim
1. A method of identifying an event associated with consumption of a utility, the method comprising:
- generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points;
detecting a plurality of events within the utility consumption profile;
wherein the plurality of events are described in coordinates comprising real power magnitudes and durations of the events;
grouping the plurality of events using a clustering process to produce a probability density map;
comparing the probability density map of the plurality of events to a stored profile of events of a particular type that is a probability density map; and
identifying the group of the plurality of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type.
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Accused Products
Abstract
A method of identifying an event associated with consumption of a utility comprising the steps of generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points, detecting a plurality of events within the utility consumption profile, grouping the plurality of events using a clustering process to produce a probability density map, comparing the probability density map to a stored profile of events of a particular type, and identifying the group of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type, wherein the probability density map is compared to a stored profile of an event which is a probability density map.
47 Citations
35 Claims
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1. A method of identifying an event associated with consumption of a utility, the method comprising:
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generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points; detecting a plurality of events within the utility consumption profile; wherein the plurality of events are described in coordinates comprising real power magnitudes and durations of the events; grouping the plurality of events using a clustering process to produce a probability density map; comparing the probability density map of the plurality of events to a stored profile of events of a particular type that is a probability density map; and identifying the group of the plurality of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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33. A computer program product, comprising:
a non-transitory computer-readable medium comprising code for; generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points; detecting a plurality of events within the utility consumption profile; wherein the plurality of events are described in coordinates comprising real power magnitudes and durations of the events; grouping the plurality of events using a clustering process to produce a probability density map; comparing the probability density map of the plurality of events to a stored profile of events of a particular type that is a probability density map; and identifying the group of the plurality of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type.
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34. An apparatus, comprising:
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a memory; and at least one processor coupled to the memory and configured to; generate a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points; detect a plurality of events within the utility consumption profile; wherein the plurality of events are described in coordinates comprising real power magnitudes and durations of the events; group the plurality of events using a clustering process to produce a probability density map; compare the probability density map of the plurality of events to a stored profile of events of a particular type that is a probability density map; and identify the group of the plurality of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type.
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35. An article of manufacture comprising:
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a non-transitory machine-readable storage medium; and executable program instructions embodied in the machine readable storage medium that when executed by a programmable system causes the system to; generate a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points; detect a plurality of events within the utility consumption profile; wherein the plurality of events are described in coordinates comprising real power magnitudes and durations of the events; group the plurality of events using a clustering process to produce a probability density map; compare the probability density map of the plurality of events to a stored profile of events of a particular type that is a probability density map; and identify the group of the plurality of events as events of the particular type when the probability density map corresponds to the stored profile of events of the particular type.
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Specification