Standard Cost Forecasting Model for Power Grid Production and Operation Under Multidimensional Lean Management Model

DOI

10.2991/978-94-6463-200-2_86How to use a DOI?

Keywords

time series; kinetic merging; neural networks; multidimensional lean management; grid operations; cost forecasting

Abstract

The current conventional standard cost forecasting model for power grid production and operation is mainly based on the analysis of historical data of power grid operation by combining with big data technology, which leads to poor forecasting effect due to the lack of analysis of cost drivers. In this regard, we propose a standard cost forecasting model for power grid production and operation under the multidimensional lean management model. The interval number is used as the scale of the operating cost of the grid enterprise, and the interval number is processed to remove uncertainty, and the drivers of the grid operating cost are analyzed and merged, and the cost prediction model is constructed by combining with BP neural algorithm. In the experiments, the proposed model is verified for prediction accuracy. The analysis of the experimental results shows that when the proposed model is used to predict the grid operation cost, the root mean square error value of the model is low and has a high prediction accuracy.

Copyright

© 2023 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.

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TY  - CONF
AU  - Yanqin Wang
AU  - Yong Wang
AU  - Ning Xu
AU  - Shunli Wang
AU  - Xian Zhao
PY  - 2023
DA  - 2023/07/26
TI  - Standard Cost Forecasting Model for Power Grid Production and Operation Under Multidimensional Lean Management Model
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 830
EP  - 838
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_86
DO  - 10.2991/978-94-6463-200-2_86
ID  - Wang2023
ER  -