Research on the Optimization Method of Electric Power Construction Schedule Based on Neural Network-Reference-Cited by-同舟云学术

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Research on the Optimization Method of Electric Power Construction Schedule Based on Neural Network

Published:2024-05-24 Issue: Volume:15 Page:79-82
ISSN:
Container-title:2024 2nd International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)
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Author:

Zhou Ming¹,Li Ma²,Zheng Tuo³,Jing Hai⁴,Liao Xiaohong²

Affiliation:

1. State Grid Hubei Electric Power Co.Ltd,Wuhan,430077

2. Research Institute,State Grid Hubei Economic,Wuhan,430077

3. State Grid Huanggang Power Supply Company,Hugang,438000

4. Hubei Central China Technology Development of Electric Power Co.,Ltd,Wuhan,430062

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10669662/10669609/10669613.pdf?arnumber=10669613

Reference12 articles.

1. Mathematical methods for maintenance and operation cost prediction based on transfer learning in State Grid

2. Solar and wind power data from the Chinese State Grid Renewable Energy Generation Forecasting Competition

3. A Multi-objective Dynamic Optimization Approach to Project Schedule Management: A Case Study of a Gas Field Construction

4. Analysis of Civil Engineering Construction Progress Management[C];Qin

5. Recent Advances on the Recognition of Important Processes in Project Progress Management

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