daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol and abbaspour, 2007:301). using generated data can help to fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). lars-wg is ...

introduction daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol andabbaspour, 2007: 301). using generated data can help fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). l...

This paper describes a corpus-based study addressing the spatial positioning of hands in Italian Sign Language (LIS). The corpus includes LIS sentences extracted from TV news concerning weather forecasting. The results shows that spatial relations depend on contextual and geographical features. These results have been exploited in the implementation of a planning module that generates a sequenc...

This paper reports experiments in which pCRU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — is used to semi-automatically create several versions of a weather forecast text generator. The generators are evaluated in terms of output quality, development time and computational efficiency against (i) human forecaster...

Sustainable and economical generation of electrical power is an essential and mandatory component of infrastructure in today’s world. Optimal generation (generator subset selection) of power requires a careful evaluation of various factors like type of source, generation, transmission & storage capacities, congestion among others which makes this a difficult task. We created a grid to simulate ...

Natural gas customers rely upon utilities to provide for heating in the coldest parts of winter. Heating capacity is expensive, so and end users (represented by commissions) must agree on day which a utility expected meet demand. The return period such long relative amount weather data that are typically available. This paper develops resampling method called Surrogate Weather Resampler, create...