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Power load prediction method based on statistical physics and artificial intelligence

A technology of electric load and artificial intelligence, applied in the field of artificial intelligence, to achieve the effects of easy application, improved forecasting effect, and low requirements for knowledge constraints

Pending Publication Date: 2021-01-12
NORTHEASTERN UNIV
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  • Application Information

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  • Power load prediction method based on statistical physics and artificial intelligence
  • Power load prediction method based on statistical physics and artificial intelligence
  • Power load prediction method based on statistical physics and artificial intelligence

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Embodiment Construction

[0032] Based on the idea of ​​statistical physics, the present invention maps the large data of electric load to the thermal motion of material particles in statistical physics, establishes a statistical physical model to describe the statistical distribution of microscopic data, and uses artificial intelligence to screen the relevant parameters of the load prediction model, and designs A new intelligent approach to electrical load forecasting.

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0034] see figure...

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Abstract

The invention discloses a power load prediction method based on statistical physics and artificial intelligence, and relates to the technical field of artificial intelligence. The method comprises thefollowing steps: establishing a mathematical model based on statistical physics based on historical power load data; solving a probability distribution function corresponding to the power load in themathematical model based on a maximum entropy principle; performing power load prediction of different time scales based on the probability distribution function to obtain a power load prediction result; and identifying influence factors of load change by utilizing an artificial intelligence technology, and correcting the power load prediction result to obtain a final power load prediction result. According to the power load prediction method, reference can be provided for analysis and prediction of the power demand and correction can be made under special conditions, detailed analysis of thepower source is not needed, analysis of complex reasons behind is not needed, and the advantages of convenient application, low requirement for knowledge constraints and the like of the method are reflected at the same time.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an electric load forecasting method based on statistical physics and artificial intelligence. Background technique [0002] As one of the pillar industries in the national industrial system, the power industry is closely related to the lifeline of the country's national economy. Forecasting of electrical load is crucial in power system management. The stable operation of the power system, the establishment of a reasonable electricity price, and the real-time dispatch of electricity depend on accurate power load forecasting. In the economic field, power load budget has a huge impact on the rational allocation of resources, optimization of power generation plans, and optimal social and economic benefits. With the improvement of living standards, the demand for electricity is positively correlated with the level of the national economy. On the other hand, date, te...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06N3/04G06N3/08G06Q10/04G06Q50/06
CPCG06F17/18G06N3/084G06Q10/04G06Q50/06G06N3/045
Inventor 杜金铭李爽
Owner NORTHEASTERN UNIV