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Wind modelling with nested Markov chains
F. Tagliaferri
,
B. P. Hayes
, I. M. Viola
, S. Z. Djokić
Newcastle University
Instituto IMDEA Energía
University of Edinburgh
Research output
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Contribution to journal
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Article
›
peer-review
Overview
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Mathematics
Autocorrelation Function
22%
Markov Chain
100%
State Markov Chain
11%
Time Series
33%
Time Series Analysis
33%
Wind Speed
44%
Wind Velocity
44%
Earth and Planetary Sciences
Autocorrelation
20%
Computational Efficiency
10%
Markov Chain
100%
Time Series
30%
United Kingdom
10%
User Requirement
10%
Wind Velocity
40%
Computer Science
Autocorrelation Function
22%
Computational Efficiency
11%
Markov Chain
100%
markov chain model
11%
Model Accuracy
11%
State Space
11%
Temporal Characteristic
11%
User Requirement
11%
Physics
Autocorrelation
20%
Markov Chain
100%
Mathematical Model
10%
Wind Velocity
40%