- Title
- URSUS-DM – New developments in data mining for use in urban sustainability
- Research area
- Sustainable construction, architecture and urban planning
- Duration
- 2019-2022
- Funding institution
- MCIUN – Ministerio de Ciencia, Innovación y Universidades
- Amount
- 107.206,00 €
- IT4S role
- Participation
- Project website
- Short description
- This project was developed in collaboration the University of Seville and University of Malaga, that acted as project coordinators. The general objective of URSUS-MD 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 in data, to develop new hybrid data mining methods for knowledge discovering 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 urban heat island effect -UHI) 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. To ensure that the project achieves its objectives, it needs to be developed by a multidisciplinary team. On the one hand, it is necessary the participation of researchers with experience in the development of new algorithms and models of data mining. On the other hand, the active participation of experts in the two fields of application in which the project will work is needed, that is, researchers in urban greening and landscape planning and researchers in photovoltaic systems. Finally, in the work plan it is also included the participation of an architect and experts in the energy market.
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