Improvements of short-term solar radiation forecasting techniques based on satellite and sky-camera imagery

  1. Rodríguez Benítez, Francisco Javier
Supervised by:
  1. Antonio David Pozo Vázquez Director

Defence university: Universidad de Jaén

Fecha de defensa: 19 December 2019

  1. Andreas Kazantzidis Chair
  2. Joaquín Tovar Pescador Secretary
  3. Samuel Quesada Ruiz Committee member

Type: Thesis

Teseo: 616922 DIALNET


The energy resources dependant of weather generate energy production varibility, which difficult its integration into the electricity grid. The prediction of resources aims at anticipating contingency actions in order to manage this variability. In this thesis, improvements in nowcasting and short-term solar forecasting methods are studied, particularly, those based on sky-camera and satellite imagery. This thesis includes: 1) the detailed description and development of state-of-the-art solar radiation forecasting methods, 2) the use of sky-camera as automatic cloud type classificator, 3) an analysis of weather patterns associated to several modes of solar variability, 4) a comparative analysis of several short-term solar radiation forecasting methods, and 5) the proposal and assessment of blending models computed through machine learning techniques.