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Omnibearing electric power economic business index analysis system and method

A technology of prosperity index and power economy, which is applied in the analysis system and field of all-round power economic prosperity index, can solve the problems of limited research scope, lack of research on power economic prosperity index, little relationship between power prosperity fluctuation and macroeconomics, etc. Achieve the effect of improving prediction accuracy and realizing intelligent optimization

Active Publication Date: 2021-06-29
JIANGSU ELECTRIC POWER CO +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Although the existing research on the prosperity index is relatively mature, the research on the power economic prosperity index is relatively scarce, and the research scope is limited to the power demand cycle, the relationship between power consumption and economy, and the reform of the power industry. less macroeconomic relationships

Method used

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  • Omnibearing electric power economic business index analysis system and method
  • Omnibearing electric power economic business index analysis system and method
  • Omnibearing electric power economic business index analysis system and method

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Experimental program
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Embodiment 1

[0140] Embodiment 1: The system of the present invention is used in the analysis of the prosperity index of power consumption in Jiangsu Province

[0141] In the third quarter of 2019, the consensus index of economic prosperity was 70.64, 1.36 points lower than the previous period, and the overall trend slowed down slightly. The leading index in the fourth quarter of 2019 was 70.56, which was only 0.08 points lower than the consensus index in the third quarter. From the perspective of the overall trend, it was basically flat. It is expected that the overall economy of the province will remain relatively stable in the fourth quarter. (From 2015 to now, the correct rate of forecast direction is 83.33%, and the data of 8 periods in the past two years is correct 5 periods. The macro economy in the third quarter is affected by a large number of uncertain factors, which will inevitably cause great interference to the forecast of the macroeconomic trend in the next quarter, and close ...

Embodiment 2

[0142] Embodiment 2: the system of the present invention is used for the prosperity index of electricity used in the second industry of Jiangsu Province

[0143] In the third quarter of the province's secondary industry electricity economic prosperity index, the province's secondary industry added value consensus index was 71.60, 0.40 points higher than the previous period, and the upward trend slowed down (the growth rate of the secondary industry's added value released by the government was 6.6% for three consecutive quarters. , 6.6%, 6.5%, the growth rate in the third quarter was stable with a decline); the leading index was 71.68, and it is expected that the growth rate of the added value of the province's secondary production in the fourth quarter will maintain a stable development trend. (From 2015 to now, the correct rate of forecast direction is 83.33%, and the data of 8 periods in the past two years are correct 7 periods.)

Embodiment 3

[0144] Embodiment 3: The system of the present invention is used for the electricity boom index of the tertiary industry in Jiangsu Province

[0145] In the third quarter of the province's tertiary industry electric power economic prosperity index, the province's tertiary industry added value consistent index was 72.16, which was 3.2 points lower than the previous period (the growth rate of the tertiary industry's added value released by the government was 7.0%, 6.7%, 6.6% for three consecutive quarters. %, gradually decreased, but the decline in the third quarter slowed down significantly); the leading index was 71.60, and it is expected that the decline in the growth rate of the added value of the province's tertiary industries in the fourth quarter will slow down, presenting a short-term stable platform. (From 2015 to now, the correct rate of forecast direction is 72.22%, and the data of 8 periods in the past two years are correct for 5 periods.)

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Abstract

The invention provides an omnibearing electric power economic business index analysis system and method, and relates to the research field of the relationship between the electric power economic business index and economic growth. The system comprises a first input module, a second input module, an index prediction module and an output module. A cross-discipline method is applied, on the basis of cross-correlation analysis in statistics, mature methods in the fields of economy, finance, industry, foreign trade and the like are combined, prosperity analysis is completely introduced into the power industry, and a novel statistical power economy prosperity index is extracted through multi-dimensional power utilization data mining. The operation condition and development situation of provincial macroeconomy are objectively reflected, the important function of watching economy through electric power is achieved, and a quantitative index is provided for the economic operation trend.

Description

[0001] priority statement [0002] This application is a partial continuation of CN202010024872.7 (publication number CN111191962A) submitted on January 10, 2020, and claims its priority, the entire content of which is hereby incorporated by reference. technical field [0003] The analysis system and analysis method of the all-round power economic prosperity index of the present invention relate to the research field of the relationship between the electric power economic prosperity index and economic growth. Background technique [0004] Since Kraft proposed the relationship between economic growth and energy consumption, many scholars have devoted themselves to the research of this issue, and the correlation between electricity and economy is one of the hot spots. However, the relationship between electricity and the economy is not just a simple causal relationship. For example, affected by multiple factors such as the transformation of industrial structure, technological ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06Q10/04G06N20/00G06F17/18
CPCG06Q10/06393G06Q10/04G06Q10/06375G06Q50/06G06N20/00G06F17/18
Inventor 高骞刘云云彭恩志李江王秀茹徐超杨俊义刘凯李琥李冰洁葛毅史静
Owner JIANGSU ELECTRIC POWER CO
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