Research on Aluminum Electrolytic Voltage Deviation Prediction Method Based on Autoformer
Electricity consumption is a very important production indicator in the cost per ton of aluminum, and voltage deviation is the key point of power consumption management in the production process of aluminum electrolysis, so this paper studies the impact characteristics and prediction of voltage deviation based on the aluminum electrolysis data of an aluminum plant in Chinalco from 2015 to 2020.Firstly, the XGBoost algorithm is used to dig out the correlation of voltage deviation, and the features with greater correlation with voltage deviation are selected according to the correlation score.On this basis, a voltage deviation prediction method based on Autoformer model is constructed to predict the voltage deviation data in the first half of 2020 , and a good prediction effect is obtained.Applying the prediction results of voltage deviation to the actual electrolytic aluminum production guidance can realize the early warning of voltage deviation and adjust production decisions in time, so as to reduce energy consumption, stabilize the condition of the electrolytic cell, and prolong the life of the cell.
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