摘要
阐述基于深度学习的线损率计算方法,构建深度神经网络模型、标注和训练线损数据,以及线损率预测,线损率的估算精度。探讨网络模型选择、样本数据处理、超参数优化中的关键技术。
This paper describes the calculation method of line loss rate based on deep learning,constructs a deep neural network model,annotates and trains line loss data,and predicts line loss rate to improve the estimation accuracy of line loss rate.It explores key technologies in network model selection,sample data processing,and hyperparameter optimization.
作者
崔弘钰
李彦君
CUI Hongyu;LI Yanjun(State Grid Jiaozhou Power Supply Company,Shandong 266300,China)
出处
《电子技术(上海)》
2024年第6期378-379,共2页
Electronic Technology
关键词
深度学习
深度神经网络
线损率计算
数据标注
deep learning
deep neural networks
line loss rate calculation
data annotation