摘要
通过对“基于知识图谱的用户用电行为”进行探究,旨在将知识图谱等先进技术和研究方法运用于电力行业用户用电行为分析工作,更加科学全面地研究和判断特点和习惯,有助于制定更加合理的能源管理和节能策略,解决能源浪费和配置不合理的问题,维护电网系统的稳定性。文章采用实验研究的方式对用户用电行为知识图谱进行分析,通过结合模型构建和应用等知识得出实验结论,再进行验证和推广。基于整个研究过程和研究成果分析,可以生成综合能源管理模型和策略,使用户能够在不同用电场景下选择更加高效环保的方式,降低能源消耗量,助力电力行业转型。
关键词: 知识图谱;用户;用电行为
Abstract
By exploring “User Electricity Consumption Behavior Based on Knowledge Graph”, we aim to apply advanced technologies and research methods such as Knowledge Graph to analyze the electricity consumption behavior of users in the electric power industry, so that we can scientifically and comprehensively study and judge the characteristics and habits of users, and help to formulate more reasonable energy management and energy saving strategies to solve the problems of energy waste and irrational allocation, and maintain the stability of the electric power grid system. This will help to formulate more reasonable energy management and energy saving strategies, solve the problems of energy waste and irrational allocation, and maintain the stability of the power grid system. The article adopts experimental research to analyze the knowledge map of users' electricity consumption behavior, and draws experimental conclusions by comparing the model with actual cases, and then verifies and promotes it. Based on the entire research process and analysis of research results, comprehensive energy management models and strategies can be generated to enable users to choose more efficient and environmentally friendly ways to reduce energy consumption in different electricity consumption scenarios, and help transform the power industry.
Key words: Knowledge graph; Users; Electricity consumption behavior
参考文献 References
[1] 张慧. 用户用电事件图谱的构造及其优化方法研究[D]. 安徽建筑大学, 2024.
[2] 熊小舟,罗坤,刘小康,等. 电力营销的知识图谱和用户画像技术应用研究 [J]. 中国高新科技, 2023, (04): 36-37+134.
[3] 吉涛,何轶,朱韵攸,等. 联合知识图谱与改进高斯混合模型的电力用户聚类方法 [J]. 重庆理工大学学报(自然科学), 2022, 36 (12): 92-101+90.
[4] 叶泳泰. 可视化客户安全用电智能分析辅助决策系统研究 [J]. 农村电气化, 2022, (09): 48-51.
[5] 雷智辉. 基于事理图谱的电力负荷预测技术研究[D]. 北京交通大学, 2022.
[6] 郭超男. 面向智能家庭的多源能源管理知识图谱构建研究[D]. 青岛科技大学, 2022.
[7] 周鸿雁,李潇,刘雯,等. 基于知识图谱与用户画像的电力营销差异化服务分析 [J]. 中国设备工程, 2021, (17): 256-258.
[8] 高海翔,苗璐,刘嘉宁,等. 知识图谱及其在电力系统中的应用研究综述 [J]. 广东电力, 2020, 33 (09): 66-76.