Electricity consumption prediction method based on energy development and Shapley value weighting

A technology of energy development and forecasting methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as the influence of the inherent development trend of the model, and achieve the effect of avoiding limitations

Inactive Publication Date: 2019-03-19
SHANGHAI JIAO TONG UNIV +3
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Problems solved by technology

The above methods have their own limitations. Most of them only use a single forecasting method for forecasting, which is easily affected by the inherent development trend of the model.
Moreover, in the current field of electricity consumption forecasting, most of the direct analysis of electricity consumption is carried out, and there are few studies on electricity consumption forecasting from the perspective of the proportion of electricity in total energy consumption.

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  • Electricity consumption prediction method based on energy development and Shapley value weighting
  • Electricity consumption prediction method based on energy development and Shapley value weighting
  • Electricity consumption prediction method based on energy development and Shapley value weighting

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Embodiment Construction

[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0045] The invention provides a power consumption forecasting method based on energy development and Shapley value weighting, combines the basic requirements of forecasting and the application characteristics of different models, selects main economic and energy influencing factors, and uses multiple regression energy forecasting models and electric energy The proportion analysis method, the Logistics power consumption model and the gray power consumption forecasting model are used to model and predict the power consumption, and the Shapley weighting method is used to carry out combine...

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Abstract

The invention relates to an electricity consumption prediction method based on energy development and Shapley value weighting, and the method comprises the following steps: predicting the economic development condition based on main economic factors influencing the energy and electricity consumption development; predicting the energy development condition by adopting a multivariate regression model; according to historical electricity consumption data and energy data, on the basis of the economic development condition and the prediction result of the energy development condition, adopting multiple electricity consumption prediction models to predict regional electricity consumption development, and obtaining multiple electricity consumption prediction values; and carrying out weighting processing on the plurality of electricity consumption prediction values through a Shapley value theory to obtain a final electricity consumption prediction result. Compared with the prior art, the electricity consumption prediction result obtained finally can better consider the medium and long term electricity consumption increase change condition, a basis can be provided for a long-term planning target of the power grid, the electricity consumption demand condition is accurately analyzed from multiple angles of economy and energy, and an effective reference is provided for power grid planning.

Description

technical field [0001] The invention relates to the technical field of power system load forecasting, in particular to a power consumption forecasting method based on energy development and Shapley value weighting. Background technique [0002] As a branch of power load forecasting, power consumption forecasting is an important preliminary work for power system planning. The scale of electricity consumption is affected by many factors, including population, GDP, urbanization rate, etc. Power consumption forecasting can provide the basis for the long-term planning goals of the power grid, and provide an effective reference for power grid planning. [0003] The typical autocorrelation model for saturated load forecasting is the Logistic curve model. Some studies select the Logistic curve model for saturated load forecasting, and set different future development scenarios for forecasting according to the traditional S-curve characteristics of load growth; The correlation mode...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F17/18
CPCG06F17/18G06Q10/04G06Q50/06
Inventor 程浩忠谢珍建朱磊姚颖蓓张建平马则良李琥吴晨葛毅牛文娟
Owner SHANGHAI JIAO TONG UNIV
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