according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...

In this paper, design and optimization procedures are developed for a conventional extractive distillation sequence and a thermally coupled extractive distillation scheme. The proposedmethodologies detect the optimal values of the design variables in order to guarantee theminimumenergy consumption. It was found that the optimumenergy consumption can be related to the minimum total annual operat...

OBJECTIVE To investigate access to basic actions among children attended at emergency departments, reconstructing their trajectories to contact with the service for the event in question, characterizing links with basic care and the appropriateness of morbidity to the organizational profile of the service attended. METHODS Cross-sectional study, carried out in November 2002 and from February ...

We present a comprehensive database of near-shore wind observations that were carried out during the experimental campaign of the RUNE project. RUNE aims at reducing the uncertainty of the near-shore wind resource estimates from model outputs by using lidar, ocean, and satellite observations. Here we concentrate in describing the lidar measurements. The campaign was conducted from November 2015...

Automatic summarization is the process of reducing a text Document with a computer program in order to create a summary that retains the most important points of the original document. As The problem of information overload has grown, and as the quantity of data has increased, so has interest in automatic summarization. It is very difficult for human beings to manually summarize large documents...