Assessing Accuracy and Geographical Transferability of Machine Learning Algorithms for Wind Speed Modelling.
Fabio VeronesiAthina KorfiatiRené BuffatMartin RaubalPublished in: AGILE Conf. (2017)
Keyphrases
- machine learning algorithms
- wind speed
- predictive accuracy
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- machine learning methods
- learning problems
- random forests
- input features
- prediction accuracy
- learning tasks
- meteorological data
- learning models
- machine learning approaches
- machine learning models
- wind power
- statistical machine learning
- decision tree learners
- standard machine learning algorithms
- short term
- neural network
- wind turbine
- support vector machine
- data sets