首页|基于PAI平台的电力大数据价值挖掘模式的探索与实践

基于PAI平台的电力大数据价值挖掘模式的探索与实践

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随着电网信息化水平的不断提升,数据作为信息的载体呈现爆炸性增长.传统电力数据挖掘模式在数据获取、建模、分析和模型评估等方面自动化集成水平低,各阶段工作衔接不紧密,同时大部分模型构建复杂,耗时较多,与国家电网公司要求的高效、精准洞察业务价值目标存在一定的差距.基于电力云平台和全业务统一数据中心的建设完成,提出了一种集数据获取、模型构建、分析评估为一体的数据挖掘新模式,通过简化实验性数据获取流程,降低模型构建难度,有效提升电力大数据价值挖掘的速度,全面服务公司业务价值提炼工作.
PAI Platform-based Electric Data Mining Model
With the improvement of information technology,electric data presents explosive growth.The traditional data mining method for electric data is completed manually in data acquisition,modeling,analysis and model evaluation.The level of automation integration is low,and the work of each stage is not closely linked.At the same time,most of the models are complex and time-consuming.There is a certain gap between traditional electric data mining mode and high-efficiency and accurate insight of business value goals required by the State Grid.Based on the construction of power cloud platform and full business unified data center,this paper proposes a new data mining model which integrates data acquisition,model construction,analysis and evaluation.By simplifying the experimental data acquisition process,it reduces the difficulty of model construction,effectively improves the speed of electric big data value mining,and comprehensively serves the company's business value extraction.

PAI platformexploring areahigh frequency table

刘海林、谢裕清、钱伟杰、周晓琴

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国网嘉兴供电公司,浙江 嘉兴 314000

国网浙江信通分公司,浙江 杭州 310000

PAI平台 探索实验区 高频表

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(4)
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