基于LSTM神经网络的电量预测分析  

Analysis of Electricity Quantity Prediction Based on LSTM Neural Network

作　　者：刘宜博 LIU Yibo(State Grid Shanghai Electric Power Company Fengxian Power Supply Company,Shanghai 201400,China.)

机构地区：[1]国网上海市电力公司奉贤供电公司,上海201400

出　　处：《集成电路应用》2023年第8期78-79,共2页Application of IC

摘　　要：阐述LSTM神经网络、电量分析与预测的现状,LSTM神经网络的电量分析与预测,案例分析表明,基于LSTM神经网络的电量分析和预测方法,具有很好的预测效果和实际应用价值。This paper expounds the current status of LSTM neural network,electricity analysis and prediction,and electricity analysis and prediction based on LSTM neural network.Case analysis shows that the electricity analysis and prediction method based on LSTM neural network has good prediction effect and practical application value.

关 键 词：LSTM神经网络 电量分析 用电预测 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F426.61[自动化与计算机技术—控制科学与工程]