Guillermo Terrén-Serrano

TL;DR: Three non standard multivariate feature selection approaches are applied, based on the adaptation of strong learning algorithms to the feature selection task, as well as a battery of classic dimensionality reduction models to obtain robust sets of features that not only improve prediction accuracy but also provide more interpretable and consistent results.

TL;DR: In this article, the authors used a two-axis rotating platform to rotate the imaging sensor array to generate relations that map each sensor pixel into an altitude-azimuth direction, α and ϕ respectively.

TL;DR: This article investigates how to infer multiple wind velocity fields using consecutive longwave infrared (IR) images of clouds to forecast the occlusion of the Sun by clouds.

TL;DR: In this paper, the Girasol Machine (Girasol means Sunflower in Spanish) is proposed to forecast Global Solar Irradiance (GSI) using a data acquisition system (DAQ) that simultaneously records sky imaging and GSI measurements, with the objective of extracting features from clouds and use them to forecast the power produced by a Photovoltaic (PV) system.

TL;DR: A method for statistical quantification of cloud features extracted from long-ware infrared (IR) images to forecast the Clear Sky Index (CSI) and implement a method for extracting physical features using radiometric measurements of the IR camera.