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Artículo
A sparsity-controlled vector autoregressive model
(Oxford University Press, 2017-04)
Vector autoregressive (VAR) models constitute a powerful and well studied tool to analyze multivariate time series. Since sparseness, crucial to identify and visualize joint dependencies and relevant causalities, is not ...
Artículo
Robust newsvendor problem with autoregressive demand
(Elsevier, 2016-04)
This paper explores the classic single-item newsvendor problem under a novel setting which combines temporal dependence and tractable robust optimization. First, the demand is modeled as a time series which follows an ...
Artículo
Clustering categories in support vector machines
(Elsevier, 2016-02)
The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster Support Vector Machine (CLSVM) methodology is proposed with the aim to increase the sparsity of the SVM ...
Artículo
Heliostat field cleaning scheduling for Solar Power Tower plants: a heuristic approach
(Elsevier, 2019-02-01)
Soiling of heliostat surfaces due to local climate has a direct impact on their optical efficiency and therefore a direct impact on the productivity of the Solar Power Tower plant. Cleaning techniques applied are dependent ...