计算机应用与软件2024，Vol.41Issue(12)：86-93,102,9.DOI:10.3969/j.issn.1000-386x.2024.12.013
基于映射遗传算法的日前电价估计方法
DAY AHEAD ELECTRICITY PRICE ESTIMATION METHOD BASED ON MAPPING GENETIC ALGORITHM
朱雅魁 1张文 2苏欣 1赵莎莎 1安亚刚1
作者信息
- 1. 国网河北省电力有限公司营销服务中心 河北 石家庄 050000
- 2. 北京中电普华信息技术有限公司 北京 100085
- 折叠
摘要
Abstract
A day ahead electricity price estimation method is proposed by combining the convolutional neural networks(CNN)with evolutionary algorithm.Based on the results of gene mapping,competitive individuals were selected,mutated and crossed.The optimal CNN structure was designed according to the mapping relationship between gene bits and CNN parameters and hyper parameters.A power market was taken as an example to verify the effectiveness of the proposed method.Experimental results show that the proposed algorithm has higher prediction accuracy and lower error rate than other prediction methods.关键词
卷积神经网络/深度学习/电价预测/遗传算法/节点边际电价Key words
Convolution neural network/Deep learning/Electricity price forecasting/Genetic algorithm/Location marginal price分类
信息技术与安全科学引用本文复制引用
朱雅魁,张文,苏欣,赵莎莎,安亚刚..基于映射遗传算法的日前电价估计方法[J].计算机应用与软件,2024,41(12):86-93,102,9.
