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.
Basile, S., Burlon, R., Gurrera, D. (2013). Analysis and modeling of wind directions time series. In Proceedings of 2013 International Conference on Renewable Energy Research and Applications, ICRERA 2013 (pp. 1190-1193). Elsevier [10.1109/ICRERA.2013.6749932].
Analysis and modeling of wind directions time series
BASILE, Salvatore;BURLON, Riccardo;Gurrera, D.
2013-01-01
Abstract
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.File in questo prodotto:
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