Simplified Markov Chain Models for Generation of Synthetic Time Series of Wind Speed and Direction

V Di Giorgio,A Testa,M Zou,S Z Djokic,R Langella

doi:10.1109/pmaps53380.2022.9810593

Simplified Markov Chain Models for Generation of Synthetic Time Series of Wind Speed and Direction

V Di Giorgio, A Testa + Show 3 more

https://doi.org/10.1109/pmaps53380.2022.9810593

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Publication Date: Jun 12, 2022

Citations: 1

Affiliation: University of Campania "Luigi Vanvitelli", University of Edinburgh

#Generation Of Synthetic Time Series #Time Series Of Wind Speed + Show 8 more

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Abstract

Simplified non-homogeneous Markov Chain (MC) models for generation of synthetic time series of wind speed (WS) and wind direction (WD) are proposed. The proposed models consider daily, monthly, and seasonal WS and WD characteristics. The accuracy and computational burden of the proposed models are compared with those of a complete model (CM), proposed by the same authors in a previous paper, trough numerical experiments based on field data.

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