摘要
文中提出以权重分配为基础的预测方法,旨在有效应用电力系统的中短期负荷分布预测问题。综合数据预处理和模型优化技术,选择合适的权重分配模型,通过比较分析不同的预测模型,构建有效的预测模型。并通过实验验证,为电力系统短期负荷管理提供可靠支持,以提高预测的准确性和稳定性。
This article proposes a prediction method based on weight allocation,aiming to effectively apply it to the issue of short-and medium-term load distribution forecasting in power systems.By integrating data preprocessing and model optimization techniques,a suitable weight allocation model is selected,and an effective prediction model is constructed through comparative analysis of different prediction models.Experimental validation demonstrates that this method aims to provide reliable support for short-term load management in power systems,thereby enhancing the accuracy and stability of predictions.
作者
何洋洋
He Yangyang(State Grid Shaanxi Xianyang Power Supply Company,Xianyang,Shaanxi,China,712000)
出处
《仪器仪表用户》
2024年第10期44-46,49,共4页
Instrumentation
关键词
电力短期负荷预测
权重分配
数据预处理
模型优化
short-term power load forecasting
weight allocation
data preprocessing
model optimization
