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多维信息融合的电力营销运维时序数据整合方法OA

Multidimensional Information Fusion Method for Power Marketing and Operation and Maintenance Time Series Data Integration Method

中文摘要英文摘要

电力运维时序数据具有多维特征,涵盖市场需求、供电负荷、能源价格、天气等信息,如何有效融合这些多维数据并提取有用信息仍是一大难点,为此,提出一种融合多维信息的电力营销运维时序数据整合方法.首先,确定数据维度,构建多维信息融合模型;其次,利用运维数据定义决策表五元组,建立无冗余属性的决策表,并基于决策粗糙集构建数据整合模型;最后,试验结果表明,该方法不仅数据整合精度高,且计算耗时更短.

Power operation and maintenance time series data often have multidimensional characteristics,including information on mar-ket demand,power supply load,energy prices,weather,and more.To this end,it proposes a integration method for operation and maintenance time series data of power marketing operation and maintenance with multi-dimensional information.Secondly,it calculates the dimensions of power marketing data,and constructs a multidimensional information fusion model for power marketing and operation and maintenance time series data.Secondly,it defines a five-tuple decision table using operation and maintenance data,establishes an attribute set decision table without redundant information,and construcs a data integration model based on decision rough sets.Finally,experimental results show that the proposed method not only has high data integration accuracy but also requires less time.

夏心锋;徐文长;周于超;陈沐林

南京南瑞瑞中数据股份有限公司,江苏 南京 211000南京南瑞瑞中数据股份有限公司,江苏 南京 211000南京南瑞瑞中数据股份有限公司,江苏 南京 211000南京南瑞瑞中数据股份有限公司,江苏 南京 211000

信息技术与安全科学

多维信息融合电力营销运维时序数据整合方法

multidimensional information fusionpower marketingoperation and maintenance time series dataintegration method

《东北电力技术》 2026 (3)

43-46,4

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