基于长短期记忆网络的代购电量预测方法分析
Analysis of Purchasing Electricity Prediction Method Based on Long Short Term Memory Network
陈经纬 1欧阳蔚琦 1刘思宇 1高莉红 1柯海芳1
作者信息
- 1. 国网湖北省电力有限公司营销服务中心(计量中心),湖北 432000
- 折叠
摘要
阐述一种基于长短期记忆网络的代购电量预测方法,创建长短期记忆网络,包括超短期、短期、中长期数据的代购电量预测模型,采用联动检查的方式消除预测过程中的误差,并进行实际验证.
Abstract
This paper describes a method for predicting purchasing electricity based on long short-term memory networks,creating a purchasing electricity prediction model that includes ultra short term,short term,and medium to long term data using a long short-term memory network.The model uses a linkage check to eliminate errors in the prediction process and conducts actual verification.
关键词
长短期记忆网络/代购电量/预测分析/电力交易Key words
long short-term memory network/purchasing electricity/predictive analysis/electricity trading引用本文复制引用
出版年
2024
NETL
NSTL
万方数据