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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II

Research Article

Research on Intelligent Prediction of Power Transformation Operation Cost Based on Multi-dimensional Mixed Information

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28867-8_5,
        author={Ying Wang and Xuemei Zhu and Ye Ke and Jing Yu and Yonghong Li},
        title={Research on Intelligent Prediction of Power Transformation Operation Cost Based on Multi-dimensional Mixed Information},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2023},
        month={3},
        keywords={Multidimensional mixed information Power grid Substation Operating costs Fixed costs Intelligent prediction},
        doi={10.1007/978-3-031-28867-8_5}
    }
    
  • Ying Wang
    Xuemei Zhu
    Ye Ke
    Jing Yu
    Yonghong Li
    Year: 2023
    Research on Intelligent Prediction of Power Transformation Operation Cost Based on Multi-dimensional Mixed Information
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-031-28867-8_5
Ying Wang1,*, Xuemei Zhu1, Ye Ke1, Jing Yu1, Yonghong Li1
  • 1: State Grid Fujian Power Economic Research Institute
*Contact email: Yingwang21212@163.com

Abstract

Operation cost is an important link in the operation of power enterprises. In the process of intelligent prediction of power transformation operation cost, there is a problem of low accuracy. Therefore, an intelligent prediction method of power transformation operation cost based on multi-dimensional mixed information is designed. Evaluate the fixed cost of power grid, determine the budget amount in different budget periods, extract the life cycle of power grid substation equipment, establish the cost estimation relationship, use multi-dimensional mixed information to build the cost control model, refine the project category, and optimize the intelligent prediction mode of operation cost according to the different nature of each link cost. Test results: the average prediction accuracy of the intelligent prediction method of power grid substation operation cost in this paper and the other two intelligent prediction methods of power grid substation operation cost are 79.357%, 71.066% and 69.313% respectively, indicating that after using multi-dimensional mixed information, the application effect of the designed intelligent prediction method of power grid substation operation cost is more prominent.

Keywords
Multidimensional mixed information Power grid Substation Operating costs Fixed costs Intelligent prediction
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28867-8_5
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