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Accurate operation data is the foundation of system identification and system analysis. Based on the characteristic of operation parameters in power plant, the method of data selection and data processing was discussed and the correlation analysis of operation parameters was introduced to operation optimization. The correlation coefficients were proposed to measure the related degree between operation...
The determination of the optimal oxygen content is very important in power plant operation optimization. Due to the disadvantages of traditional ways, this paper proposed a new method to decide the optimal oxygen content based on incremental updating data mining. This method could determine the optimal oxygen content and related frequent items by fuzzy quantitative association rule mining algorithm...
Load forecasting is very important for electrical companies since it permits the system operator, the planning, the distribution and the control of the electrical energy supplied to customers. Electric load is affected by many uncertain factors, so many factors should be considered in forecasting process. This paper introduced a new method based on data mining to reflect the influence of weather factor...
This paper proposed language association rule and applied it to mining optimal target value in power plant operation. In language association rule, quantitative attributes are partitioned into several fuzzy sets by FCM algorithm, then the algorithm for mining Boolean association rules is improved to discover frequent attributes. Last, association rule with least confidence are generated to decide...
Coal-fired boiler combustion system is a complex multi-input and multi-output plant with strong nonlinear and large time-delay. Currently the research of optimizing the combustion process is monitor oriented instead of decision oriented. So it lacks the interaction and decision making with the user. To improve the performance of combustion process, the key point is to decide the optimization values...
The research and application of the operation optimization are very active now, but there are still some problems in this field, for example, the accurate process model is hard to establish for current complex industry process. So they can not instruct operation optimization very well. As more and more real-time data are sent and stored into database, abundantly valuable knowledge exists in the history...
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