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As a controllable subsystem integrating with the utility, a microgrid system consists of distributed energy sources, power conversion circuits, storage units and adjustable loads. Distributed energy sources employ non-polluted and sustainable resources such as wind and solar power in accordance with local terrain and climate to provide a reliable, consistent power supply for local customers. However,...
There are four major processes involved in the snow storm event over southern China in 2008. Our previous study show the variability of every process has the significant relationship with strength of the inversion layer. Basing on this, we discuss the validation of five models data which has 1–15 days forecast from China, America, England, ECMWF and Canada. In qualitative aspects the results show...
In order to find an effective way to predict running of mechanical equipment, a new prediction method of mechanical fault based on principal component analysis (PCA) is proposed in this study. The disadvantages of traditional prediction methods and the presence and development in mechanical fault of PCA-based predication method were briefly introduced. Theoretical basis, analysis processes and parameters...
To solve imbalance problem of datasets in thunderstorm forecast, this paper introduced the concept of data field and proposed a resampling method based on potential value which is combined with the weighted Support Vector Machine (SVM) to set up a new thunderstorm forecast model. Moreover we assessed the forecast model with a comprehensive assessment method based on imbalance measure and meteorological...
Multi-level recursive method is an adaptive and data-driven fault prediction process. In terms of input-output equivalence, a nonlinear model can be modified into a multi-level linearized model using the multi-level recursive method. The time-varying characteristics of model parameters are accounted for at the same time. Therefore, the proposed approach obtained satisfied results when utilized in...
The Multi-level recursive prediction is a new method based on statistics, which is suitable for dynamic system. In this paper multi-level recursive prediction method is studied and applied in various time-varying systems. The simulated results from two time-varying systems are presented. One is the malfunction prediction of chemical Continuous Stirred Tank Reactor (CSTR) system and the other is time...
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