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作 者:赵永刚 刘万珍 ZHAO Yong-gang;LIU Wan-zhen(Inner Mongolia Electric Power Survey and Design Institute Co.,Ltd.)
机构地区:[1]内蒙古电力勘测设计院有限责任公司
出 处:《电站系统工程》2024年第3期73-75,共3页Power System Engineering
摘 要:输变电工程造价预测是输变电工程建设中的一个重要问题。针对当前输变电工程造价预测中存在的问题,提出了一种基于Python人工智能模块的预测方法。首先,对输变电工程的历史数据进行了收集和分析,从中提取出了对造价预测有重要影响的相关特征。其次,采用了Python人工智能模块对输变电工程造价预测进行建模和预测。最后,对模型进行训练和优化,测试和验证模型的预测能力和准确性。实验结果表明,Python人工智能模块在预测输变电工程造价的准确性和精度上都优于传统方法。The cost prediction of power transmission project is an important issue in the construction of power transmission project.According to current problems existing in the cost prediction of power transmission project,a prediction model based on Python artificial intelligence module was presented.Firstly,the historical data of power transmission projects are collected and analyzed,and the relevant characteristics which have an important impact on the cost prediction are extracted.Secondly,the Python artificial intelligence module is used to model and predict the cost prediction of power transmission and transformation projects.Finally,the model is trained and optimized to test and verify the predictive ability and accuracy of the model.The experimental results showed that the Python artificial intelligence module is superior to the traditional method in predicting the accuracy and accuracy of power transmission and transformation project cost.
分 类 号:TM6[电气工程—电力系统及自动化]
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