Medium-and-long-term load prediction research and management integration application system

A load forecasting and application system technology, applied in data processing applications, information technology support systems, instruments, etc., can solve problems such as inability to unify, scattered information resources, and lack of scientific basis, so as to improve work efficiency, solve data incompleteness, and improve The effect of managing quality

Inactive Publication Date: 2013-11-27
STATE GRID CORP OF CHINA +1
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AI Technical Summary

Problems solved by technology

[0005] All the analysis, research, and prediction of load are based on data information resources, but a large number of information resources are scattered in the business application systems of various business departments or in the hands of individuals, which cannot be unified and cannot provide global applications. and sharing, r

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  • Medium-and-long-term load prediction research and management integration application system

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Embodiment Construction

[0022] An integrated application system for medium and long-term load forecasting research and management, the system includes a data management unit 1, a database 2, a regional macroeconomic forecasting unit 3, a power demand analysis and forecasting unit 4, an economic and power consumption monitoring and analysis unit 5, an economic and Power relationship research unit 6 , daily load forecasting business management unit 7 and data release display unit 8 .

[0023] The data management unit 1 is used to access the real-time data of the SCADA system, the marketing auxiliary decision analysis system, and the statistical analysis system of the electric power internal resources, as well as the economic, energy, and meteorological data of external resources, and classify and manage the accessed data, and The results are entered into database 2 for storage. There are four main types of data sources, one is electricity production, that is, the data involved in the existing productio...

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Abstract

The invention provides a medium-and-long-term load prediction research and management integration application system. The medium-and-long-term load prediction research and management integration application system comprises a data management unit, a database, a regional macro economy prediction unit, a power demand analytical prediction unit and a data publishing and display unit. By the adoption of the regional macro economy prediction unit, power demand analytical prediction is built on the basis of macro economy prediction; macro economy data, industrial economy data, energy supply and demand data, meteorological data, power supply and power production data and the like are integrated; a unified data warehouse is built; a load prediction index system is unified; the management quality of a data source is effectively improved; real-time hierarchy interconnection, classified management and hierarchical application and sharing are realized; the problems that data are incomplete, data quality cannot be ensured and barriers exist in usage of basic data in each department are effectively solved; the working efficiency is greatly improved; a scientific basis is provided for programming of plans and decisions of a grid company.

Description

technical field [0001] The invention relates to the technical field of power system load forecasting, in particular to an integrated application system for medium and long-term load forecasting research and management. [0002] Background technique [0003] Electric power is the pillar industry of national economic development and the barometer of national economic operation. Accurate analysis and prediction of power demand is the basis for ensuring the healthy development of the power industry, and also provides favorable auxiliary decision-making support for improving the operating efficiency of power grid companies. [0004] At present, there are many researches on medium and long-term load forecasting systems at home and abroad, but none of them have broken out of the vicious circle of "algorithm up-conversion and combination of a large number of forecasting methods", and have not found the real root cause of the impact on the load forecasting results and the method to ...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
CPCY04S10/60Y04S10/54Y04S10/50
Inventor 杜贵和葛斐陈中元石雪梅李周荣秀婷杨欣
Owner STATE GRID CORP OF CHINA
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