摘要
聚焦智能电网环境,深入探讨大语言模型在负荷预测与优化调度中的应用。通过梳理大语言模型的技术特性,分析其在处理电力数据的优势与潜力,利用大语言模型构建负荷预测模型,并将其融入优化调度策略。研究结果表明,大语言模型能有效提升负荷预测精度,优化电力调度方案,提高电网运行效率与稳定性,为智能电网的发展提供新的技术路径与决策支持。
This study focuses on the smart grid environment and explores in depth the application of big language models in load forecasting and optimization scheduling.By sorting out the technical characteristics of the big language model,analyzing its advantages and potential in processing power data,using the big language model to construct a load forecasting model,and integrating it into optimization scheduling strategies.The research results indicate that the big language model can effectively improve the accuracy of load forecasting,optimize power dispatch schemes,enhance the efficiency and stability of power grid operation,and provide new technological paths and decision support for the development of smart grids.
作者
丁中奎
丁宗银
朱利娟
DING Zhongkui;DING Zongyin;ZHU Lijuan(Jiangsu Electric Power Information Technology Co.,Ltd.,Nanjing 210000,China)
出处
《电工技术》
2025年第S1期284-286,共3页
Electric Engineering
关键词
智能电网
大语言模型
负荷预测
优化调度
smart grid
large language model
load forecasting
optimal dispatch
