POWER CURVE CORRELATION SYSTEM
First Claim
1. A system comprising:
- at least one computing device configured to verify a forecast of a power network load for a component by performing actions including;
obtaining a set of load data for the component in the power network over a period;
identifying similar load patterns in the set of load data using a pattern recognition technique, independent of at least one of;
a scale for a component load, a predetermined minimum component load value or a predetermined maximum component load value;
grouping the identified similar load patterns into distinct groups based upon the identified similar load patterns in the set of load data;
categorizing at least one of the distinct groups according to a recurring event associated with a load pattern in the at least one distinct group; and
providing the at least one categorized group for verifying the forecast of the power network load.
2 Assignments
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Accused Products
Abstract
A power curve correlation system is disclosed. The power curve correlation system includes a system including: at least one computing device configured to verify a forecast of a power network load for a component by performing actions including: obtaining a set of load data for the component in the power network over a period; identifying similar load patterns in the set of load data using a pattern recognition technique, independent of at least one of: a scale for a component load, a minimum component load value or a maximum component load value; grouping the identified similar load patterns into distinct groups; categorizing at least one of the distinct groups according to a recurring event associated with a load pattern in the at least one distinct group; and providing the categorized group for verifying the forecast of the power network load for the component using the at least one categorized group.
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Citations
18 Claims
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1. A system comprising:
at least one computing device configured to verify a forecast of a power network load for a component by performing actions including; obtaining a set of load data for the component in the power network over a period; identifying similar load patterns in the set of load data using a pattern recognition technique, independent of at least one of;
a scale for a component load, a predetermined minimum component load value or a predetermined maximum component load value;grouping the identified similar load patterns into distinct groups based upon the identified similar load patterns in the set of load data; categorizing at least one of the distinct groups according to a recurring event associated with a load pattern in the at least one distinct group; and providing the at least one categorized group for verifying the forecast of the power network load. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A program product stored on a non-transitory computer readable medium for verifying a forecast of a power network load for a component, the computer readable medium comprising program code for causing the computer system to:
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obtain a set of load data for the component in the power network over a period; identify similar load patterns in the set of load data using a pattern recognition technique, independent of at least one of;
a scale for a component load, a predetermined minimum component load value or a predetermined maximum component load value;group the identified similar load patterns into distinct groups based upon the identified similar load patterns in the set of load data; categorize at least one of the distinct groups according to a recurring event associated with a load pattern in the at least one distinct group; and provide the at least one categorized group for verifying the forecast of the power network load for the component using the at least one categorized group. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A system comprising:
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a human machine interface (HMI) operably connected to a power network; and at least one computing device operably connected to the HMI, the at least one computing device configured to verify a forecast of a power network load for a component by performing actions including; obtaining a set of load data for the component in the power network over a period; identifying similar load patterns in the set of load data using a pattern recognition technique, independent of at least one of;
a scale for a component load, a predetermined minimum component load value or a predetermined maximum component load value;grouping the identified similar load patterns into distinct groups based upon the identified similar load patterns in the set of load data; categorizing at least one of the distinct groups according to a recurring event associated with a load pattern in the at least one distinct group; and providing the at least one categorized group for verifying the forecast of the power network load for the component using the at least one categorized group. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification