System tools for integrating individual load forecasts into a composite load forecast to present a comprehensive, synchronized and harmonized load forecast
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
H02J-003/14
H02J-003/00
G05B-015/02
출원번호
US-0743958
(2015-06-18)
등록번호
US-10128655
(2018-11-13)
발명자
/ 주소
Sun, David
Cheung, Kwok
Chung, Kenneth
McKeag, Tory
출원인 / 주소
GENERAL ELECTRIC TECHNOLOGY GMBH
대리인 / 주소
Amin, Turocy & Watson, LLP
인용정보
피인용 횟수 :
0인용 특허 :
77
초록▼
A system tool merges different load forecasts for power grid centers. A plurality of load forecast engines are coupled to a load forecast interface and a relational data base that saves load forecast engine data as an input through the load forecast interface. A comprehensive operating plan is coupl
A system tool merges different load forecasts for power grid centers. A plurality of load forecast engines are coupled to a load forecast interface and a relational data base that saves load forecast engine data as an input through the load forecast interface. A comprehensive operating plan is coupled to the load forecast engines and the relational database. The comprehensive operating plan is configured to integrate individual load forecasts into a composite load forecast to present a comprehensive, synchronized and harmonized load forecast. A program interface provides access to the composite load forecasting schedule.
대표청구항▼
1. A system, comprising: a memory that stores executable instructions; anda processor, coupled to the memory, that executes or facilitates execution of the executable instructions to at least: integrate at least two load forecasts associated with a power grid center into a composite load forecast fo
1. A system, comprising: a memory that stores executable instructions; anda processor, coupled to the memory, that executes or facilitates execution of the executable instructions to at least: integrate at least two load forecasts associated with a power grid center into a composite load forecast for the power grid center;generate scheduling data for a device of the power grid center based on the composite load forecast, other scheduling data for the power grid center that is determined by a first forecast engine associated with the at least two load forecasts, timing data for at least one power generator of the power grid center that is determined by a second forecast engine associated with the at least two load forecasts, and financial data for the power grid center that is determined by a third forecast engine associated with the at least two load forecasts, wherein the first forecast engine is associated with a first time range, the second forecast engine is associated with a second time range, and the third forecast engine is associated with a third time range; andmanage power provided to the device of the power grid center based on the scheduling data. 2. The system of claim 1, wherein the at least two load forecasts are integrated into the composite load forecast based on a weighted average of the at least two load forecasts. 3. The system of claim 1, wherein a first portion of the first time range corresponds to a second portion of the second time range. 4. The system of claim 1, wherein the processor further executes or facilitates the execution of the executable instructions to: determine the at least two load forecasts based on the first forecast engine, the second forecast engine and the third forecast engine. 5. The system of claim 1, wherein the processor further executes or facilitates the execution of the executable instructions to: generate an operating plan for the power grid center based on the scheduling data. 6. The system of claim 1, wherein the processor further executes or facilitates the execution of the executable instructions to: modify the scheduling data based on an override of data associated with the first forecast engine, the second forecast engine or the third forecast engine. 7. The system of claim 1, wherein the processor further executes or facilitates the execution of the executable instructions to: display the scheduling data via a user interface. 8. A computer readable storage device comprising computer-executable instructions that, in response to execution, cause an apparatus comprising a processor, to perform operations, comprising: combining a first load forecast associated with a power grid center and a second load forecast associated with the power grid center into a combined load forecast for the power grid center;generating operating data for a device of the power grid center based on the combined load forecast, scheduling data for the power grid center that is determined by a first forecast engine associated with a first interval of time, timing data for at least one power generator of the power grid center that is determined by a second forecast engine associated with a second interval of time, and financial data for the power grid center that is determined by a third forecast engine associated with a third interval of time; andmanaging power provided to the device of the power grid center based on the operating data. 9. The computer readable storage device of claim 8, wherein the combining comprises combining the first load forecast and the second load forecast based on a weighted average of the first load forecast and the second load forecast. 10. The computer readable storage device of claim 8, wherein the generating the operating data comprises generating the operating data based on a linear interpolation of the combined load forecast, the scheduling data, the timing data and the financial data. 11. The computer readable storage device of claim 8, wherein the operations further comprise: receiving the scheduling data from the first forecast engine, receiving the timing data from the second forecast engine, and receiving the financial data from the third forecast engine. 12. The computer readable storage device of claim 8, wherein the operations further comprise: altering the operating data based on an override of data associated with the first forecast engine, the second forecast engine or the third forecast engine. 13. The computer readable storage device of claim 8, wherein the operations further comprise: presenting the operating data on an interface of a user device. 14. The computer readable storage device of claim 8, wherein the operations further comprise: providing the operating data to a client device. 15. A method, comprising: merging, by a system comprising a processor, a plurality of load forecasts associated with a power grid center into a load forecast for the power grid center;generating, by the system, scheduling data for a device of the power grid center based on the load forecast, daily scheduling data for the power grid center that is determined by a first forecast engine associated with a first time period and the plurality of load forecasts, timing data for at least one power generator of the power grid center that is determined by a second forecast engine associated with a second time period and the plurality of load forecasts, and financial data for the power grid center that is determined by a third forecast engine associated with a third time period and the plurality of load forecasts; andmanaging, by the system, an amount of energy provided to the device of the power grid center during a period of time based on the scheduling data. 16. The method of claim 15, wherein the merging comprises merging the plurality of load forecasts based on a weighted average of the plurality of load forecasts. 17. The method of claim 15, further comprising: adjusting, by the system, the scheduling data based on an override of data associated with the first forecast engine, the second forecast engine or the third forecast engine. 18. The method of claim 15, further comprising: generating, by the system, an operating plan for the device of the power grid center based on the scheduling data. 19. The method of claim 15, further comprising: displaying, by the system, the scheduling data on an interface of a user device. 20. The method of claim 15, further comprising: transmitting, by the system, data to a client device in accordance with the scheduling data.
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