WO2012101656A3 - A system and method for electricity price forecasting - Google Patents
A system and method for electricity price forecasting Download PDFInfo
- Publication number
- WO2012101656A3 WO2012101656A3 PCT/IN2012/000058 IN2012000058W WO2012101656A3 WO 2012101656 A3 WO2012101656 A3 WO 2012101656A3 IN 2012000058 W IN2012000058 W IN 2012000058W WO 2012101656 A3 WO2012101656 A3 WO 2012101656A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- error
- price forecasting
- values
- electricity price
- forecasting
- Prior art date
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Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
A system and method for electricity price forecasting is disclosed. This invention relates to electricity price forecasting, and particularly to price forecasting by employing error correction techniques. Existing mechanisms do not offer effective error correction mechanisms and hence there are no means to ensure accurate electricity pricing. The method employs a forecasting module that refers to the patterns of energy consumption from the history and accordingly predicts the most likely energy consumption. In addition, the method also employs neural network based mechanisms in order to determine the states of the values. The method compares if there are errors in the prediction. In case there is error, it determines if the error is within the permissible values. Further, if the error is outside the permissible values then a correction factor is applied to the computed values and prediction is updated. FIG. 2
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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IN236MU2011 | 2011-01-27 | ||
IN236/MUM/2011 | 2011-01-27 |
Publications (2)
Publication Number | Publication Date |
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WO2012101656A2 WO2012101656A2 (en) | 2012-08-02 |
WO2012101656A3 true WO2012101656A3 (en) | 2012-10-04 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/IN2012/000058 WO2012101656A2 (en) | 2011-01-27 | 2012-01-27 | A system and method for electricity price forecasting |
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WO (1) | WO2012101656A2 (en) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013071414A1 (en) * | 2011-11-14 | 2013-05-23 | Energent Incorporated | System, method and computer program for forecasting energy price |
CN103617566B (en) * | 2013-12-05 | 2017-03-01 | 中国能源建设集团广东省电力设计研究院 | A kind of intelligent electric power utilization system based on Spot Price |
IT201700106840A1 (en) * | 2017-09-25 | 2019-03-25 | Alberto Sammarchi | COMPUTER PLATFORM TO OPTIMIZE THE SUPPLY OF ELECTRICITY AND / OR GAS TO A USER |
CN107993033A (en) * | 2017-11-14 | 2018-05-04 | 广东电网有限责任公司物流服务中心 | A kind of Power Material Forecasting Methodology |
CN111753097B (en) * | 2020-06-22 | 2023-11-14 | 国能日新科技股份有限公司 | Deep learning-based data analysis method and device for electric power spot transaction clearance |
FR3112637B1 (en) * | 2020-07-15 | 2024-01-05 | Total Sa | Method for controlling an electrical microgrid |
CN116485440A (en) * | 2023-06-20 | 2023-07-25 | 国家电投集团电站运营技术(北京)有限公司 | Market electricity price forecasting method, device and equipment based on model stacking |
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US5974403A (en) * | 1997-07-21 | 1999-10-26 | International Business Machines Corporation | Power trading and forecasting tool |
US20030182250A1 (en) * | 2002-03-19 | 2003-09-25 | Mohammad Shihidehpour | Technique for forecasting market pricing of electricity |
US20040215529A1 (en) * | 2004-04-16 | 2004-10-28 | Foster Andre E. | System and method for energy price forecasting automation |
US20080249667A1 (en) * | 2007-04-09 | 2008-10-09 | Microsoft Corporation | Learning and reasoning to enhance energy efficiency in transportation systems |
US7509261B1 (en) * | 1999-12-06 | 2009-03-24 | Federal Home Loan Mortgage Corporation | Method for forecasting house prices using a dynamic error correction model |
US20100100250A1 (en) * | 2003-08-08 | 2010-04-22 | Electric Power Group, Llc | Real-time performance monitoring and management system |
US20100305860A1 (en) * | 2009-05-28 | 2010-12-02 | The Government Of The United States Of America As Represented By The Secretary Of The Navy | Filtered Model Output Statistics (FMOS) |
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2012
- 2012-01-27 WO PCT/IN2012/000058 patent/WO2012101656A2/en active Application Filing
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5974403A (en) * | 1997-07-21 | 1999-10-26 | International Business Machines Corporation | Power trading and forecasting tool |
US7509261B1 (en) * | 1999-12-06 | 2009-03-24 | Federal Home Loan Mortgage Corporation | Method for forecasting house prices using a dynamic error correction model |
US20030182250A1 (en) * | 2002-03-19 | 2003-09-25 | Mohammad Shihidehpour | Technique for forecasting market pricing of electricity |
US20100100250A1 (en) * | 2003-08-08 | 2010-04-22 | Electric Power Group, Llc | Real-time performance monitoring and management system |
US20040215529A1 (en) * | 2004-04-16 | 2004-10-28 | Foster Andre E. | System and method for energy price forecasting automation |
US20080249667A1 (en) * | 2007-04-09 | 2008-10-09 | Microsoft Corporation | Learning and reasoning to enhance energy efficiency in transportation systems |
US20100305860A1 (en) * | 2009-05-28 | 2010-12-02 | The Government Of The United States Of America As Represented By The Secretary Of The Navy | Filtered Model Output Statistics (FMOS) |
Also Published As
Publication number | Publication date |
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WO2012101656A2 (en) | 2012-08-02 |
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