Optimization method and device for electricity consumption prediction model

Abstract

The embodiment of the invention discloses an optimization method and an optimization device for an electricity consumption prediction model. According to the method and the device provided by the embodiment of the invention, influences on electricity consumption by annual electricity consumption, the quantity of heavy industry enterprises, the quantity of light industry enterprises, the quantity of institutions, population and GDP speed increase are fully considered, key points of electricity consumption prediction of various types of power consumers are effectively grasped, the complexity of an algorithm is reduced, the demanded quantity of data is reduced, operability is greatly improved, and the problem that existing research method only research an own development and change law of electricity consumption is overcome, so that a prediction result is more objective and accurate; the prediction result is high in accuracy, and thus a marketing decision support can be provided for power supply enterprises, safe and economic operation of a power grid and steady development of an electricity market are ensured, the complexity of the algorithm can be reduced, the demanded quantity of data is reduced, the operability is greatly improved.

Description

technical field [0001] The invention relates to the field of power consumption prediction, in particular to a method and device for optimizing a power consumption prediction model. Background technique [0002] Affected by factors such as economic transformation, industrial structure adjustment, and frequent population migration, the total power consumption of the power grid has also changed accordingly. Power forecasting is a basic task in the electricity market. Combining the characteristics of electricity consumption in the industry to correctly predict power consumption and provide marketing decision support for power supply companies is very important for the safe and economic operation of the power grid and the construction and development of the power market. significance. At present, according to the type of electricity price and load characteristics in my country, power users are divided into five categories: residential users, commercial users, industrial users, n...

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Problems solved by technology

[0004] The embodiment of the present invention provides a power consumption forecasting model optimization method and device, which overcomes the problem that the current forecasting method only studies the development and change law of the power consumption itself, makes the forecasting result more objective and accurate, and has a high precision of the forecasting result

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