基于智能技术的电力负荷预测与调度方法分析
Analysis of Power Load Forecasting and Scheduling Methods Based on Intelligent Technology
宋德琦 1关新宇 1靳君 1贺明强1
作者信息
摘要
阐述基于数据挖掘、机器学习、深度学习的负荷预测方法,以及基于优化算法、智能算法的电力调度方法,探讨其应用与优化方向,以实现更精确、高效的电力负荷预测与调度方法.
Abstract
This paper expounds load forecasting methods based on data mining,machine learning,and deep learning,as well as power dispatch methods based on optimization algorithms and intelligent algorithms.It explores their applications and optimization directions to achieve more accurate and efficient power load forecasting and dispatch methods.
关键词
智能技术/电力负荷预测/电力调度Key words
intelligent technology/power load forecasting/power dispatch引用本文复制引用
出版年
2024
NETL
NSTL
万方数据