Utility demand forecasting using utility demand matrix
First Claim
1. A machine implemented method of forecasting utility demand of a utility consuming entity for a future time period, the method comprising:
- selecting a utility demand matrix from a set of utility demand matrixes as a function of a future date, wherein the set of utility demand matrixes are classified by type-of-day, and representing a relation of past utility demand of the entity to time-in-day and outdoor temperature in the vicinity of the entity during the type-of-day;
identifying a utility demand element from the utility demand matrix as a function of a future time-in-day interval and a known factor thereof; and
generating, by the machine a utility demand forecast of the entity for the future time period as a function of the identified utility demand element.
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Abstract
One embodiment of the application provides a method of forecasting utility demand of a utility consuming entity for a future time period. The method includes: selecting a utility demand matrix from a set of utility demand matrixes as a function of a future date, wherein the set of utility demand matrixes are classified by type-of-day, and representing a relation of past utility demand of the entity to time-in-day interval and outdoor temperature in the vicinity of the entity during the type-of-day; identifying a utility demand element from the utility demand matrix as a function of a future time-in-day and a known factor (e.g., future outdoor temperature) thereof; and generating a utility demand forecast of the entity for the future time period as a function of the identified utility demand element.
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Citations
22 Claims
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1. A machine implemented method of forecasting utility demand of a utility consuming entity for a future time period, the method comprising:
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selecting a utility demand matrix from a set of utility demand matrixes as a function of a future date, wherein the set of utility demand matrixes are classified by type-of-day, and representing a relation of past utility demand of the entity to time-in-day and outdoor temperature in the vicinity of the entity during the type-of-day; identifying a utility demand element from the utility demand matrix as a function of a future time-in-day interval and a known factor thereof; and generating, by the machine a utility demand forecast of the entity for the future time period as a function of the identified utility demand element. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A machine implemented method of forecasting utility demand of a utility consuming entity for a future time period, comprising:
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obtaining access to a set of utility demand matrixes, classified by type-of-day, and representing a relation of past utility demand of the entity to time-in-day and outdoor temperature in the vicinity of the entity during the type-of-day; receiving a future date, time-in-day, and expected outdoor temperature in the vicinity of the utility consuming entity; selecting a utility demand matrix from the set of utility demand matrixes as a function of the future date; matching respectively the future time-in-day and expected outdoor temperature with the time-in-day and the outdoor temperature existing in the selected utility demand matrix; identifying a utility demand element from the selected utility demand matrix as a function of the time-in-day and the outdoor temperature thereof; and providing, by the machine, a utility demand forecast of the entity for the future time period as a function of the utility demand element.
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15. A system of forecasting utility demand of a utility consuming entity for a future time period, comprising:
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means for accessing a set of utility demand matrixes that are classified by type-of-day, and representing a relation of past utility demand of the entity to time-in-day and outdoor temperature in the vicinity of the utility consuming entity during the type-of-day; a utility demand matrix selecting module, to select a utility demand matrix from the set of utility demand matrixes as a function of a future date; a utility demand element identifying module, to identify the utility demand element from the selected utility demand matrix as a function of a future time-in-day and expected outdoor temperature; and a machine, to forecast the utility demand of the utility consuming entity for the future time period as a function of the identified utility demand element. - View Dependent Claims (16, 17, 18)
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19. A computer-readable medium including instructions that, when at least partially performed by a computer in a system, cause the computer to:
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to select a utility demand matrix from a set of utility demand matrixes as a function of an input future date, wherein the set of utility demand matrixes is classified by type-of-day, and represents a relation of past utility demand of the entity to time-in-day and outdoor temperature in the vicinity of the entity during the type-of-day; to identify a utility demand element from the utility demand matrix, by matching respectively a future time-in-day and expected outdoor temperature with the time-in-day and outdoor temperature in the utility demand matrix; and to generate a utility demand forecast of the entity for the future time period as a function of the identified utility demand element. - View Dependent Claims (20, 21, 22)
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Specification