Load forecasting using Singular Spectrum analysis

Abstract

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.