Electricity Consumption Prediction Based on Improved Equilibrium Optimizer Algorithm
A power consumption prediction method based on an improved equilibrium optimizer algorithm was proposed to address the issue of insufficient prediction accuracy in current power consumption prediction models.Firstly,an adaptive search mechanism was introduced into the basic equilibrium optimizer to overcome its vulnerability to falling into local optima;secondly,an adaptive equilibrium optimizer was used to adjust the parameters of the gradient enhanced regressor;finally,the optimized gradient enhanced regressor improved by the equilibrium optimizer was used for power consumption prediction.In order to verify the effectiveness of the proposed model,a large-scale dataset was used to test the proposed algorithm.The results indicate that the proposed power consumption prediction model has good prediction accuracy and stability.
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