现代信息科技2024，Vol.8Issue(1)：165-169,174,6.DOI:10.19850/j.cnki.2096-4706.2024.01.035
基于CNN-TPA-GRU的电价预测模型研究与应用
Research and Application of Electricity Price Prediction Model Based on CNN-TPA-GRU
刘科 1王玲霞 1苗伊 1王梓霁 2尚虹霖2
作者信息
- 1. 内蒙古龙源新能源发展有限公司,内蒙古 呼和浩特 010000
- 2. 华北电力大学(保定),河北 保定 071003
- 折叠
摘要
Abstract
This paper introduces a method of electricity price prediction to solve the fluctuation of electricity market price.In this method,Convolution Neural Networks are used to extract local features of input sequences and reduce dimensionality.At the same time,the Temporal Pattern Attention mechanism is applied to consider the dependencies between different time steps,assign weights to each time step,and optimize input characteristics of the Gate Recurrent Unit.The model is verified on TGE dataset,and compares with other algorithms,and reaches the optimal in each evaluation index,which confirmed its adaptability and feasibility in the power spot market.关键词
时序模式注意力/循环神经网络/电价预测/卷积神经网络/GRUKey words
temporal pattern attention/Recurrent Neural Network/electricity price prediction/Convolutional Neural Network/GRU分类
信息技术与安全科学引用本文复制引用
刘科,王玲霞,苗伊,王梓霁,尚虹霖..基于CNN-TPA-GRU的电价预测模型研究与应用[J].现代信息科技,2024,8(1):165-169,174,6.
