Evaluation on power marketing decision evaluation based on Bayesian network
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Ning Ding
,
Shifeng Liu
Abstract
The daily production and life of human beings are inseparable from electricity. As the power supplier, electric power enterprises provide power demand for the majority of users. In the new era, electric power enterprises are also facing market-oriented reform. The focus of reform is electric power marketing. The formulation of electric power marketing strategy needs scientific decision-making analysis as guidance. With the increase of power demand, the scale of power grid is also expanding continuously. With the introduction of new energy equipment, the power system is becoming more and more complex, and it is difficult for relevant staff to effectively monitor and analyze the system. Combined with the above situation, this paper combined Bayesian network to build a power marketing decision analysis system, and combined Bayesian algorithm to test the power marketing real-time cost control system. The experimental results showed that the average judgment accuracy was 91.90 %, and the average warning time was 0.39 s. From the above data, it can be seen that this algorithm can play a good optimization effect on the performance of the system. In this paper, the elasticity test of the power system was also carried out from the aspect of wind speed, and the results showed that the maximum elasticity value can reach 0.94. It can be seen that the elasticity effect of the power system is good as a whole under different wind speeds.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Intelligent identification algorithm and key point detection of abnormal vibration of transmission tower based on machine learning
- Design and development of power data service platform based on multi dimension
- Evaluation on power marketing decision evaluation based on Bayesian network
- Power monitoring data access control system based on BP neural network
- Investigation and application of key technologies of aggregated flash payment based on marketing blockchain in the context of massive distributed generation grid connection
- Research on RBF neural network adaptive control of three-point contactless measuring device for CNC roller grinder
- Measurement of surface vibration signal of 500 kV transformer and analysis of its frequency characteristics
- Evaluation on key technologies for the construction of low-carbon index of electric power based on “double carbon”
- Application scenario evaluation of modified converter for quadratic Boost high gain DC-DC: taking the constant off time control mode as an example
- Efficiency of artificial intelligence automatic control system and data processing unit based on edge computing technology
- Design of mountain fire prevention monitoring system for transmission lines based on machine vision algorithms
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Intelligent identification algorithm and key point detection of abnormal vibration of transmission tower based on machine learning
- Design and development of power data service platform based on multi dimension
- Evaluation on power marketing decision evaluation based on Bayesian network
- Power monitoring data access control system based on BP neural network
- Investigation and application of key technologies of aggregated flash payment based on marketing blockchain in the context of massive distributed generation grid connection
- Research on RBF neural network adaptive control of three-point contactless measuring device for CNC roller grinder
- Measurement of surface vibration signal of 500 kV transformer and analysis of its frequency characteristics
- Evaluation on key technologies for the construction of low-carbon index of electric power based on “double carbon”
- Application scenario evaluation of modified converter for quadratic Boost high gain DC-DC: taking the constant off time control mode as an example
- Efficiency of artificial intelligence automatic control system and data processing unit based on edge computing technology
- Design of mountain fire prevention monitoring system for transmission lines based on machine vision algorithms
