A H2020 project by Miguel Molina-Solana.

In PERCENTAGE, we are developing advanced Deep Learning techniques for modelling and predicting energy consumption in Heritage Sites, with the aim of improving energy efficiency in such locations. PERCENTAGE will be developed at Universidad de Granada and Imperial College (two world-leading research institutions) and its results will be demonstrated at the Alhambra (most visited monument in Spain and located in Granada). The project will be an excellent example of successful knowledge transfer, demonstrating how new technologies can be respectfully used in heritage sites. It will produce high-impact open scientific publications and open-source software implementations, and will have a high societal and outreach impact, ultimately serving as a demonstrator for other monuments.


Towards self-adaptive building energy control in smart grids

J. Gómez-Romero, M. Molina-Solana

NeurIPS 2019 Workshop: "Tackling Climate Change with Machine Learning"