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- W2371302015 abstract "The determination of the operation optimization values is very important to the validity and accuracy of the economical analysis in thermal power plants.Based on the association characteristic of the electric industrial data,this paper proposed the operation optimization based on data mining in power plants.The basic structure of operation optimization based on data mining is established and the improved fuzzy association rule mining algorithm is used to find the optimization target values from quantitative values of the equipments to guide the operation in power plant.Based on the actual local data in 300MW unit,the optimal values of each performance targets and operating parameters with the relationship to the load of the unit are found out.The optimal values are provided to the operators online to guide the operation.The experiment results show that the new method can improve the efficiency and decrease the contamination emission.The optimization values by fuzzy association mining reflect the optimal running status and can be used to provide to the operators to guide the operation online." @default.
- W2371302015 created "2016-06-24" @default.
- W2371302015 creator A5061342847 @default.
- W2371302015 date "2006-01-01" @default.
- W2371302015 modified "2023-09-23" @default.
- W2371302015 title "The Research and Application of Fuzzy Association Rule Mining in Power Plant Operation Optimization" @default.
- W2371302015 hasPublicationYear "2006" @default.
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