Data processing method and device, storage medium and computer program product

• Main Authors: SUN CAIXIN, SHEN XUHUI, REN XIAOKUI, GUAN HEGEGE, SUN PEIYING, WANG HONGCE, HAO JIANQIANG, YU YAYONG, SHEN CONG, WANG DEZHI, LI MENGLEI, PAN XIAOFENG
• Format: Patent
• Language: Chinese; English
• Published: 21.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a data processing method and device, a storage medium and a computer program product. The method comprises the following steps: acquiring power load data generated by a target area in a preset acquisition period; mapping the power load data to obtain a first data set; and performing calculation processing on the first data set by using a preset genetics algorithm to obtain a second data set. By adopting the technical method, the problem of low accuracy of data sets corresponding to different types of processed electric power data in related technologies is solved, and high-accuracy data-driven analysis is realized by mapping the original electric power data and optimizing the mapped data sets through the preset genetics algorithm. 本申请提供了一种数据的处理方法及装置、存储介质、计算机程序产品，上述方法包括：获取目标区域在预设采集周期内产生的电力负荷数据；对电力负荷数据进行映射处理，得到第一数据集；使用预设遗传学算法对第一数据集进行计算处理，得到第二数据集。采用上述技术方法，解决了相关技术中处理后的不同类型的电力数据对应的数据集精确度低等问题，通过对原始电力数据的映射处理以及通过预设遗传学算法对映射后的数据集进行优化处理，实现高精度的数据驱动分析。