Towards self-adaptive building energy control in smart grids

Abstract

Buildings are the largest energy-demanding sector in the world, representing over one third of the total worldwide consumption and a similarly important source of CO2 emissions. We envision a future energy system in which building control will be performed by autonomous self-adaptive agents that, with minimal configuration, will learn how to operate the HVAC equipment more efficiently and how to collaborate with other actors of the grid.

Juan Gómez Romero

Associate Professor of Artificial Intelligence

My research interests include Machine Learning, Information Fusion and Knowledge Representation.