Load forecasting using Singular Spectrum analysis
Tutor / directorSpagnuolo, Giovani
Document typeBachelor thesis
Rights accessOpen Access
Nowadays, the energy market has become more relevant and the electricity demand is more active, this means that it is less predictable. This has caused an increase in the development of a prediction with greater certainty and accuracy. It has the aim of improving energy efficiency, power systems planning and operations. The majority of the load forecasting articles have been a timely forecasting, which is easier to obtain the expected values. There are different ways to predict the load consumption, primarily statistical techniques and artificial intelligent techniques.
DegreeGRAU EN ENGINYERIA ELÈCTRICA (Pla 2009)