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The Weather Research and Forecasting (WRF) model represents a mesoscale numerical weather prediction system designed for both the atmospheric research and operational forecasting use. WRF offers several computationally efficient platforms while providing serial and parallel models running with or without multi-threading. The main goal of the work described in this paper was to develop management software...
As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on a new application of nonlinear, feedback optimal control strategy to Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous...
Wind energy has taken an important role in responding to overall energy demand and environmental concers. As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency mostly through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on new application of...
Learning from imbalanced data has conventionally been conducted on stationary data sets. Recently, there have been several methods proposed for mining imbalanced data streams, in which training data is read in consecutive data chunks. Each data chunk is considered as a conventional imbalanced data set, making it easy to apply sampling methods to balance data chunks. However, one drawback of chunk-based...
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