6533b834fe1ef96bd129cb82
RESEARCH PRODUCT
Analysis and modeling of wind directions time series
Riccardo BurlonD. GurreraS. Basilesubject
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 modelbusinessdescription
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.
year | journal | country | edition | language |
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2013-10-01 |