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

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。

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.