Automatic utility usage rate analysis methodology
First Claim
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1. A method of automatically identifying candidates for reducing demand, comprising:
- receiving, over a measured period, demand interval data collected by at least one utility monitoring device, the demand interval data including a number of utility usage rate values and associated dates and times;
sorting, by a processor, the utility usage rate values in descending order from the highest utility usage rate value to the lowest utility usage rate value to produce sorted utility usage rate values and storing the sorted utility usage rate values in rows of a table, each of the rows having an associated row number;
for each of the rows starting with the second row, calculating, by the processor, a percent difference as a function of the sorted utility usage rate value and the sorted utility usage rate value in an immediately preceding one of the rows of the table;
for each of the rows starting with the second row, summing, by the processor, previous percent difference values to produce a cumulative percent difference;
for each of the rows starting with the second row, dividing, by the processor, the cumulative percent difference by a cumulative time to produce a ratio, wherein the cumulative time is calculated by dividing the row number of the row by a total of all of the utility usage rate values in the measured period;
determining, by the processor, a largest row number of the rows whose associated ratio is less than a ratio threshold;
starting with the second row, for at least each of the rows up to the largest row whose associated ratio is less than the ratio threshold, calculating, by the processor, a standard deviation of time as a function of the times associated with the utility usage rate values;
determining, by the processor, the row number whose associated standard deviation of time is less than a standard deviation threshold and whose associated ratio is less than the ratio threshold to produce a number of intervals of control;
storing in a memory data representative of the number of intervals of control and representative of the cumulative percent difference associated with the row number corresponding to the number of intervals of control; and
displaying a representation of the data on a video display.
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Abstract
An automatic method of which days/hours represent good candidates for reducing demand to achieve potential savings and the amount of demand reduction that can be achieved with a tolerable level of disruption to status quo operations. Demand interval data including utility usage rate (UUR) values is received from one or more utility monitoring devices, and are sorted in descending order. A percent difference is calculated for each UUR value relative to the previous one, and a cumulative percent difference accumulates the percent differences from the preceding rows. The average cumulative percent difference is divided by the total number of UUR values in the measured period to produce a ratio. The standard deviation of time is determined, and from those demand data associated with ratios greater than a ratio threshold and standard deviations less than a standard deviation threshold the demand reduction amount and the number of control hours are determined.
20 Citations
19 Claims
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1. A method of automatically identifying candidates for reducing demand, comprising:
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receiving, over a measured period, demand interval data collected by at least one utility monitoring device, the demand interval data including a number of utility usage rate values and associated dates and times; sorting, by a processor, the utility usage rate values in descending order from the highest utility usage rate value to the lowest utility usage rate value to produce sorted utility usage rate values and storing the sorted utility usage rate values in rows of a table, each of the rows having an associated row number; for each of the rows starting with the second row, calculating, by the processor, a percent difference as a function of the sorted utility usage rate value and the sorted utility usage rate value in an immediately preceding one of the rows of the table; for each of the rows starting with the second row, summing, by the processor, previous percent difference values to produce a cumulative percent difference; for each of the rows starting with the second row, dividing, by the processor, the cumulative percent difference by a cumulative time to produce a ratio, wherein the cumulative time is calculated by dividing the row number of the row by a total of all of the utility usage rate values in the measured period; determining, by the processor, a largest row number of the rows whose associated ratio is less than a ratio threshold; starting with the second row, for at least each of the rows up to the largest row whose associated ratio is less than the ratio threshold, calculating, by the processor, a standard deviation of time as a function of the times associated with the utility usage rate values; determining, by the processor, the row number whose associated standard deviation of time is less than a standard deviation threshold and whose associated ratio is less than the ratio threshold to produce a number of intervals of control; storing in a memory data representative of the number of intervals of control and representative of the cumulative percent difference associated with the row number corresponding to the number of intervals of control; and displaying a representation of the data on a video display. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification
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Current AssigneeSquare D Company (Schneider Electric SE)
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Original AssigneeSquare D Company (Schneider Electric SE)
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InventorsBuettner, William L., Austin, Stephen B.
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Primary Examiner(s)Patel; Ramesh B
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Assistant Examiner(s)Lin; Jason
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Application NumberUS11/824,361Publication NumberTime in Patent Office998 DaysField of Search700/291, 702 60- 63, 705/412US Class Current700/291CPC Class CodesG06Q 10/10 Office automation; Time man...G06Q 50/06 Energy or water supplyH02J 3/00 Circuit arrangements for ac...H02J 3/003 Load forecast, e.g. methods...Y04S 10/50 Systems or methods supporti...
