Name
Title | ||
|---|---|---|
Research and application of data mining in power plant process control and optimization |
Abstract | ||
|---|---|---|
As more and more real-time data is sent to databases by DAS, large amounts of data are accumulated in power plants. Abundant knowledge exists in historical data but it is hard to find and summarize this in a traditional way. This paper proposes a method of operation optimization based on data mining in a power plant. The basic structure of the operation optimization based on data mining is established and the improved fuzzy association rule mining is introduced to find the optimization values from the quantitative data in a power plant. Based on the historical data of a 300MW unit, the optimal values of the operating parameters are found by using data mining techniques. The optimal values are provided to guide the operation online and experiment results show that excellent performance is achieved in the power plant. |
Year | DOI | Venue |
|---|---|---|
2005 | null | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
data mining,power plant process control,optimal value,historical data,operation online,real-time data,optimization value,operation optimization,power plant,quantitative data,data mining technique,real time data,process control | Data mining,Data processing,Fuzzy association rule mining,Computer science,Power control,Fuzzy logic,Information extraction,Association rule learning,Process control,Power station | Conference |
Volume | Issue | ISSN |
3930 LNAI | null | 16113349 |
ISBN | Citations | PageRank |
3-540-33584-6 | 3 | 0.51 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian-qiang Li | 1 | 7 | 1.83 |
| Cheng-lin Niu | 2 | 7 | 1.83 |
| Jizhen Liu | 3 | 60 | 17.03 |
| Luan-ying Zhang | 4 | 3 | 0.51 |