Nonparametric wind power forecasting under fixed and random censoring

We consider nonparametric forecasting of wind power for individual wind turbines, allowing for random right censoring as well as two-sided fixed censoring. We propose a very fast estimation algorithm and show that this estimator of the unknown regression function is uniformly consistent. We argue th...

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Bibliographic Details
Main Authors: Dahl, C.M (Author), Effraimidis, G. (Author), Pedersen, M.H (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2019
Subjects:
Online Access:View Fulltext in Publisher