基于智能算法的代理购电量预测策略优化分析  

Analysis of Optimization of Agent Purchase Electricity Quantity Prediction Strategy Based on Intelligent Algorithms

作　　者：孙宪民 SUN Xianmin(State Grid Shaanxi Electric Power Company Yan'an Power Supply Company,Shaanxi 716000,China)

机构地区：[1]国网陕西省电力公司延安供电公司,陕西716000

出　　处：《电子技术（上海）》2024年第5期216-217,共2页Electronic Technology

摘　　要：阐述采用智能算法优化代理购电电量的预测策略。通过数据准备、模型选择与调参、集成学习步骤,设计一套完整的优化流程。实验结果表明,智能算法在代理购电电量预测中具有明显优势。This paper expounds the use of intelligent algorithms to optimize the prediction strategy for purchasing electricity through agents.It designs a complete optimization process through data preparation,model selection and tuning,and integrated learning steps.The experimental results indicate that intelligent algorithms have significant advantages in predicting the amount of electricity purchased throughagents.

关 键 词：智能算法 代理购电 电量预测 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F426.61[自动化与计算机技术—控制科学与工程]