Progressive humidity filter for load data forecasting
First Claim
1. Via a processor, a method of forecasting energy usage comprising:
- selecting a plurality of reference days with at least one feature matching a corresponding feature of a day to be forecasted;
filtering the plurality of reference days with a humidity filter to identify at least one matching reference day wherein the at least one matching reference day is associated with;
a correlation coefficient greater than or equal to a minimum correlation coefficient, anda minimum number of humidity values within a range of corresponding humidity values of the day to be forecasted;
retrieving energy load values and corresponding temperature values corresponding to the at least one matching reference day;
calculating a plurality of regression coefficients of a polynomial equation linking the temperature values to the energy load values; and
calculating and storing a forecasted load value of the day to be forecasted according to the polynomial equation.
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Accused Products
Abstract
A method, via a processor, of forecasting energy usage including selecting a plurality of reference days with at least one feature matching a corresponding feature of a day to be forecasted and filtering the plurality of reference days with a humidity filter to identify at least one matching reference day. The at least one matching reference day is associated with a correlation coefficient greater than or equal to a minimum correlation coefficient, and a minimum number of humidity values within a range of corresponding humidity values of the day to be forecasted. The method also includes retrieving energy load values and corresponding temperature values corresponding to the at least one matching reference day, calculating a plurality of regression coefficients of a polynomial equation linking the temperature values to the energy load values, and calculating and storing a forecasted load value of the day to be forecasted according to the polynomial equation.
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Citations
20 Claims
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1. Via a processor, a method of forecasting energy usage comprising:
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selecting a plurality of reference days with at least one feature matching a corresponding feature of a day to be forecasted; filtering the plurality of reference days with a humidity filter to identify at least one matching reference day wherein the at least one matching reference day is associated with; a correlation coefficient greater than or equal to a minimum correlation coefficient, and a minimum number of humidity values within a range of corresponding humidity values of the day to be forecasted; retrieving energy load values and corresponding temperature values corresponding to the at least one matching reference day; calculating a plurality of regression coefficients of a polynomial equation linking the temperature values to the energy load values; and calculating and storing a forecasted load value of the day to be forecasted according to the polynomial equation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of identifying, via a processor, a matching reference day for energy usage forecasting, the method comprising:
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retrieving a reference day record from a memory; comparing feature information of the reference day record to a feature criteria; responsive to the feature information matching the feature criteria, comparing at least one humidity value associated with the reference day record to at least one forecasted humidity value, and calculating a correlation coefficient representing a comparison of a humidity profile associated with the reference day record to a forecasted humidity profile; responsive to the at least one humidity value being within a humidity deviation range of the at least one forecasted humidity value and the correlation coefficient equaling or exceeding a minimum correlation coefficient, identifying the reference day as a matching reference day; and storing the matching reference day in a matching reference day list in the memory. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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18. A non-transitory computer readable medium having stored thereon instructions for identifying a matching reference day for energy usage forecasting, comprising machine executable code that when executed by a processor, causes the processor to perform steps comprising:
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retrieving a reference day record from a memory; comparing feature information of the reference day record to a feature criteria; responsive to the feature information matching the feature criteria, comparing at least one humidity value associated with the reference day record to at least one forecasted humidity value, and calculating a correlation coefficient representing a comparison of a humidity profile of the reference day record to a forecasted humidity profile; responsive to the at least one humidity value being within a humidity deviation range of the at least one forecasted humidity value and the correlation coefficient equaling or exceeding a minimum correlation coefficient, identifying the reference day as a matching reference day; and storing the matching reference day in a matching reference day list in the memory. - View Dependent Claims (19, 20)
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Specification