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Gene selection is an important step in analysis of gene data sets in which the number of genes exceeds greatly the number of samples. In this paper, we propose a new method that uses a random forest model to select genes from high dimensional gene data sets. In this method, Breiman's random forest algorithm is first used to generate a random forest model from a high dimensional data set. Then, features...
In this paper, we consider the operation optimization for a microgrid (MG) aggregator, which can procure energy from various sources including the pool market and local distributed energy resources to serve MG customers. We assume that the MG aggregator sells electricity to customers at a predefined retail rate and it also offers customers various contracts for adjusting their loads. Our design objective...
In this paper, we study an optimal power bidding and scheduling problem for a microgrid (MG), which consists of distributed generators (DGs), battery storage units, a large garage with many charging stations for electric vehicles (EVs), MG local load, and renewable energy sources (RESs).We propose to utilize EVs as a dynamic energy storage facility to accommodate the variability of RESs in a realistic...
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