Research on Big Data Power Load Based on Neural Network Prediction Model

Abstract

The price of sailboats will change with time and market changes. Reasonable prediction and evaluation of the price of second-hand sailboats can have a certain impact on the price of second-hand sailboats. The better ones in the area are for sale.The paper established the RF_XGBoost second-hand sailboats price prediction model, determined the feature variables from the type of sailboat, regional economy, the random forest algorithm is used to select the feature variables, and the optimization is based on the grid search algorithm after the data normalization process obtained the minimum value.After analyzing the characteristic variables it is found that the region has little influence on the listed price, and thus has little influence on the features. Meanwhile, the Pearson correlation analysis between the variables and the price shows that there is a weak negative correlation consistency between the region and the type of sailing boats.