This thesis explores the integration of machine learning forecasting techniques with an optimization model designed to minimize the Levelized Cost of Hydrogen (LCOH) in an off-grid renewable energy system. The study evaluates ...

[ANGLÈS] In any digital communication system, data prior to transmission have to be line coded into a form that is best suited for the channel and at the same time minimize number of occurring bit errors at the receiver. ...

Since the humanity was born, hands have been the most essential parts of the body for our interaction with the environment. It would make no sense to receive a huge amount of information through the senses and processing ...

This master thesis presents the control and analysis of a DC fault on a zero inertia offshore grid integrating multiple Voltage Source Converters. The system analyzed consists in an offshore grid which includes two wind ...

In a world where the amount of data is increasing exponentially, machine learning is viewed as a disruptive technology with the potential to transform areas such as medical diagnosis, musicology, business, and financial ...

The integration of offshore wind to the grid comprises multiple areas and systems, the main ones being the wind farms themselves, the point of connection and the transmission system. Each of this areas are undergoing ...

As a part of the process of renovation of Eurocode-5, a study on the variables affecting the load bearing capacity and the kinetics of mechanical connections is conducted together with an investigation on the influence of ...

Inside an unpredictable industrial context characterized by growing complexity and market specialization, cleantech companies see the necessity of cooperating with one another in order to face t ...

Climate change is one of the greatest challenges issues facing the world this century. Cement industry represents around 5% of the total anthropogenic carbon dioxide emissions worldwide. The carbonate looping process seems ...