Research on Prediction of Electric Quantity based on Artificial Neural Network

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Zhu, Guorong^1 ; Zhang, Yihong^1 ; Cheng, Fei^2 ; Wang, Wei^2 ; Zhou, Yingfeng^3

State Grid Zhejiang Economic Research Institute, China^1

Zhejiang Huayun Information Technology Co., Ltd, China^2

School of Informatics and Electronics, Zhejiang Sci-Tech University, China^3

关键词: BP neural network model;    BP neural networks;    Economic benefits;    Electric quantity;    Hidden layer numbers;    Initial weight values;    Learning parameters;    Power network planning;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032110/pdf
DOI  :  10.1088/1757-899X/452/3/032110

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this paper, BP neural network is used to predict electric quantity of electric power system. BP neural network model is established, input data is processed, hidden layer number is determined, while initial weight value is determined by selection of learning parameters and training samples for electricity prediction and so on. The electric quantity prediction of power system is very important for power network planning and improving the economic benefit of power department.