6533b834fe1ef96bd129cb82

RESEARCH PRODUCT

Analysis and modeling of wind directions time series

Riccardo BurlonD. GurreraS. Basile

subject

Wind powerSeries (mathematics)business.industryComputer scienceVariable-order Markov modelWind directionMixture modelMarkov modelIndustrial engineeringdirectional data; wind direction time seriesVariable-order Bayesian networkSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Settore FIS/03 - Fisica Della Materiadirectional dataEconometricswind direction time seriesHidden Markov modelbusiness

description

This work aims at studying some aspects of wind directions in Italy and supplying appropriate models. A comparison is presented between independent mixture and Hidden Markov models, which seem to be appropriate as far as the series we studied.

10.1109/icrera.2013.6749932http://hdl.handle.net/10447/94147