集成电路应用2024,Vol.41Issue(6) :120-121.DOI:10.19339/j.issn.1674-2583.2024.06.049

基于深度学习的电力市场供需预测与调度优化模型分析

Analysis of Power Market Forecasting and Scheduling Optimization Model Based on Deep Learning

周纯巨 李亮 任安 何楚楚
集成电路应用2024,Vol.41Issue(6) :120-121.DOI:10.19339/j.issn.1674-2583.2024.06.049

基于深度学习的电力市场供需预测与调度优化模型分析

Analysis of Power Market Forecasting and Scheduling Optimization Model Based on Deep Learning

周纯巨 1李亮 1任安 1何楚楚1
扫码查看

作者信息

  • 1. 国网浙江省电力有限公司永嘉县供电公司,浙江 325105
  • 折叠

摘要

阐述电力市场供需预测和电力优化调度的设计,包括供需数据采集和处理、供需特征选择和模型构建、供需模型训练和预测,以及供需调度策略设计、供需模型构建和训练、供需实时调度决策.

Abstract

This paper describes the design of supply and demand forecasting and power optimization scheduling in the electricity market,including data collection and processing of supply and demand,selection and model construction of supply and demand characteristics,training and forecasting of supply and demand models,as well as the design of supply and demand scheduling strategies,construction and training of supply and demand models,and real-time scheduling decisions for supply and demand.

关键词

深度学习/电力供需预测/调度优化

Key words

deep learning/electricity supply and demand forecasting/scheduling optimization

引用本文复制引用

出版年

2024
集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
段落导航相关论文