The general objective of this project is the generation of knowledge and procedures based on artificial intelligence techniques and data mining that allow to address and solve different sustainability problems. The proposal is to investigate and develop new data-driven models to characterize the problems and relationships, to develop new hybrid data mining methods for knowledge discovery using heterogeneous data, and to build simulation tools to support decision making.
It will focus on the challenges posed in different areas of urban sustainability: in the context of climate change (increasing temperatures and UHI effect) and in the field of electricity generation through renewable energies. Both problems are included in the European and Spanish social challenges.
In the context of climate change, the role of green infrastructure in mitigating the UHI effect will be analyzed, taking into account their characteristics and geographical distribution. A model will be obtained in order to study, in the context of different climate change scenarios, the expected results when using urban greening elements in the most unfavorable areas.
In the context of electricity generation, the main purpose of this project is the generation of knowledge, methodologies, and procedures based on techniques of artificial intelligence and data mining that allow to approach and give a solution to the challenges that arose in the intelligent and automatic management of PV self-consumption systems, including their best integration into the power grid.