Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach
Juan Aurelio Montero-Sousa, Héctor Aláiz‐Moretón, Héctor Quintián, T. González-Ayuso, Paulo Nováis, José Luis Calvo‐Rolle
Abstract
Energy storage is one of the challenges of the electric sector. There are several different technologies available for facing it, from the traditional ones to the most advanced. With the current trend, it is mandatory to develop new energy storage systems that allow optimal efficiency, something that does not happen with traditional ones. Another feature that new systems must meet is to envisage the behavior of energy generation and consumption. With this aim, the present research deals the hydrogen consumption prediction of a fuel cell based system thanks a hybrid intelligent approach implementation. The work is based on a real testing plant. Two steps have been followed to create a hybrid model. First, the real dataset has been divided into groups whose elements have similar characteristics. The second step, carry out the