Analysis and modeling of wind directions time series

Davide Gurrera; Riccardo Burlon; Salvatore Basile

Analysis and modeling of wind directions time series

Davide Gurrera, Riccardo Burlon, Salvatore Basile

Risultato della ricerca: Conference contribution

Abstract

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

Lingua originale	English
Titolo della pubblicazione ospite	Proceedings of 2013 International Conference on Renewable Energy Research and Applications, ICRERA 2013
Pagine	1190-1193
Numero di pagine	4
Stato di pubblicazione	Published - 2013

All Science Journal Classification (ASJC) codes

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title = "Analysis and modeling of wind directions time series",

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

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year = "2013",

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AU - Burlon, Riccardo

AU - Basile, Salvatore

PY - 2013

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N2 - This work aims at studying some aspects of wind directions in Italy and supplying appropriate models. A comparison is presented between independent mixture andHidden Markov models, which seem to be appropriate as far as the series we studied.

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

UR - http://hdl.handle.net/10447/94147

M3 - Conference contribution

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BT - Proceedings of 2013 International Conference on Renewable Energy Research and Applications, ICRERA 2013

ER -

Analysis and modeling of wind directions time series

Abstract

All Science Journal Classification (ASJC) codes

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