Research on Reasonable Interval Analysis Method of Power Grid Technical Transformation Project Based on Kernel Density Estimation Method
- DOI
- 10.2991/978-94-6463-736-6_3How to use a DOI?
- Keywords
- Power Engineering; Technological Transformation Technology; Nuclear Density Estimation Method; Cost Interval; Analysis Technology
- Abstract
With the rapid development of the electric power industry, grid technology transformation projects have become an important way to enhance grid operational efficiency and improve the reliability of power supply. However, due to the wide range of equipment involved and the technical complexity of these projects, how to reasonably assess and control project investment costs has become an urgent issue. As the cost components of technological transformation projects are numerous and the influencing factors are complex, precise determination becomes challenging. Therefore, this paper proposes a novel approach based on Kernel Density Estimation. By utilizing KDE, it is possible to estimate the data distribution more accurately without relying on assumed models, thus providing a more scientific basis for determining the cost range of power grid technology transformation projects.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jianguo Tang AU - Huixing Liu AU - Yizhen Zhou AU - Wenjing Xiao PY - 2025 DA - 2025/05/22 TI - Research on Reasonable Interval Analysis Method of Power Grid Technical Transformation Project Based on Kernel Density Estimation Method BT - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025) PB - Atlantis Press SP - 11 EP - 17 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-736-6_3 DO - 10.2991/978-94-6463-736-6_3 ID - Tang2025 ER -