Now showing items 1-4 of 4
Fuel cell hybrid model for predicting hydrogen inflow through energy demand
[Abstract]: Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model ...
Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system
[Abstract]: The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional ...
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
[Abstract] The hotel industry is an important energy consumer that needs efficient energy management methods to guarantee its performance and sustainability. The new role of hotels as prosumers increases the difficulty ...
A Machine Learning Solution for Distributed Environments and Edge Computing
(M D P I AG, 2019-08-09)
[Abstract] In a society in which information is a cornerstone the exploding of data is crucial. Thinking of the Internet of Things, we need systems able to learn from massive data and, at the same time, being inexpensive ...