电力系统负荷预测精度提升策略分析  

Analysis of Strategies for Improving Load Forecasting Accuracy in Power Systems

作　　者：顾东峰 GU Dongfeng(Sheyang County Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Yancheng,Jiangsu Province,224300 China)

机构地区：[1]国网江苏省电力有限公司射阳县供电分公司,江苏盐城224300

出　　处：《科技资讯》2024年第19期105-107,共3页Science & Technology Information

摘　　要：旨在提出提升电力系统负荷预测精度的策略。综合考虑数据预处理与清洗、特征工程与选择、建模算法与模型融合等多方面因素,采取具体可行的实施方案。通过精细化数据处理、优化特征提取与选择,并运用先进的建模算法和模型融合技术,有效提高了负荷预测模型的准确性和可靠性。这一工作为电力系统运行与规划提供了有力支持,有助于提高电力系统的运行效率和稳定性,为未来能源规划与管理提供了重要参考。This paper aims to propose strategies for enhancing the accuracy of load forecasting in power systems.Considering various factors such as data preprocessing and cleansing,feature engineering and selection,modeling algorithms,and model fusion,a specific and feasible implementation plan is adopted.Through refined data processing,optimized feature extraction and selection,and the application of advanced modeling algorithms and model fusion techniques,the accuracy and reliability of load forecasting models are effectively improved.This work provides valuable support for the operation and planning of power systems,contributing to enhancing operational efficiency and stability,and providing significant references for future energy planning and management.

关 键 词：电力系统 负荷预测 数据预处理 模型融合 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]