Skip to main navigation
Skip to search
Skip to main content
University College Cork Home
Home
Profiles
Research units
Research output
Activities
Prizes
Datasets
Impacts
Courses
Press/Media
Search by expertise, name or affiliation
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
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Wind modelling with nested Markov chains'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Speed Data
100%
Autocorrelation Function
100%
Mathematical Model
50%
Computational Efficiency
50%
User Requirement
50%
Model Chain
50%
Mathematics
Markov Chain
100%
Wind Velocity
44%
Wind Speed
44%
Time Series Analysis
33%
Time Series
33%
Autocorrelation Function
22%
State Markov Chain
11%
Computer Science
Markov Chain
100%
Autocorrelation Function
22%
Model Accuracy
11%
Computational Efficiency
11%
User Requirement
11%
State Space
11%
markov chain model
11%
Temporal Characteristic
11%