Iron steel electricity consumption forecasting method and device

Abstract

The invention discloses an iron steel electricity consumption forecasting method and device. The forecasting method comprises the following steps: acquiring iron steel historical data of an area to be forecasted within a preset period of time to serve as sample data, wherein the iron steel historical data comprises electricity consumption index and iron steel electricity consumption; performing dimensionless treatment on the sample data to obtain normalized electricity consumption index and normalized iron steel electricity consumption; adopting the normalized electricity consumption index as an input variable, and the normalized iron steel electricity consumption as an output variable to realize network training so as to build a nerve network model; adopting the normalized electricity consumption index as the input variable and the normalized iron steel electricity consumption as the output variable to build a support vector regression model; combining the nerve network model and the support vector regression model to obtain a combined model, and using the combined model to forecast the iron steel electricity consumption. According to the invention, the demand on the forecasting precision of the iron steel electricity consumption is satisfied to the utmost extent, and reference is provided for economical and reasonable planning of a power grid.

Description

technical field [0001] The invention relates to the technical field of power load forecasting, in particular to a method and device for forecasting electricity consumption of iron and steel. Background technique [0002] Power load forecasting refers to the study or use of a set of mathematical methods that systematically deal with past and future loads under the conditions of fully considering some important system operating characteristics, capacity increase decisions, natural conditions and social influences, and meet certain accuracy requirements Under the condition of , determine the load value at a specific moment in the future. The accuracy of load forecasting is of great significance to the safe operation and economic dispatch of power systems. Accurate load forecasting is the basis for medium and long-term power construction investment, which is conducive to determining the number of substations to be built in the future, the number and capacity of main transformer...

AI Technical Summary

Problems solved by technology

[0011] The invention provides a method and device for forecasting electricity consumption of iron and steel to at least solve the problem that the existing electricity consumption forecast in the iron and steel industry cannot well meet the prediction accuracy requirements

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