Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Regularization on Graphs with Function-adapted Diffusion Processes
The Journal of Machine Learning Research
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The prediction and management of wind power ramps is currently receiving large attention as it is a crucial issue for both system operators and wind farm managers. However, this is still an issue far from being solved and in this work we will address it as a classification problem working with delay vectors of the wind power time series and applying local Mahalanobis K-NN search with metrics derived from Anisotropic Diffusion methods. The resulting procedures clearly outperform a random baseline method and yield good sensitivity but more work is needed to improve on specificity and, hence, precision.