Research on Substation Project Prediction Method in Power Transmission and Transformation by Improved Neural Network Intelligent Model. Issue 3 (June 2021)

• Record Type: Journal Article
• Authors: Ma, Li; He, Lanfei; Zhang, Xuefei; Wang, Wei; Sun, Liping; Zhou, Li; Zhou, Qiupeng; Ke, Fangchao
• Is Part Of: Journal of physics. Volume 1952:Issue 3(2021)
• Publication Date: 2021-06
• Subjects: substation engineering -- neural network -- multiple linear regression -- cost prediction; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1952/3/032052
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: On the basis of collecting a large number of practical engineering cases, this paper uses the improved neural network prediction model based on multiple linear regression to build an improved substation project cost prediction model based on the division of substation projects. Using the actual project sample data for empirical research, the results show that the prediction model has high accuracy for the prediction of substation engineering. This research work provides a reliable technical scheme for the cost prediction of power transmission project.