Prediction of Industrial Electric Energy Consumption in Anhui Province Based on GA-BP Neural Network

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Zhang, Jiajing^1 ; Yin, Guodong^2 ; Ni, Youcong^3 ; Chen, Jinlan^4

School of Mathematics and Physics, AnHui JianZhu University, Hefei

230601, China^1

School of Electronic and Information Engineering, AnHui JianZhu University, Hefei

230601, China^2

School of Software, Fujian Normal University, Fuzhou

350117, China^3

School of Mechanical and Electrical Engineering, AnHui JianZhu University, Hefei

230601, China^4

关键词: BP neural network model;    BP neural networks;    Comparing experiments;    Electric energy consumption;    Electrical energy consumption;    Ga-bp neural networks;    Prediction accuracy;    Prediction model;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/5/052061/pdf
DOI  :  10.1088/1755-1315/108/5/052061

来源: IOP

【 摘 要 】

In order to improve the prediction accuracy of industrial electrical energy consumption, a prediction model of industrial electrical energy consumption was proposed based on genetic algorithm and neural network. The model use genetic algorithm to optimize the weights and thresholds of BP neural network, and the model is used to predict the energy consumption of industrial power in Anhui Province, to improve the prediction accuracy of industrial electric energy consumption in Anhui province. By comparing experiment of GA-BP prediction model and BP neural network model, the GA-BP model is more accurate with smaller number of neurons in the hidden layer.