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Smart planning for electric vehicle
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The work done by the Advanced Spatio-Temporal Data Analytics team in the field of electromobility, as part of the Movilidad2030 project, together with Iberdrola:
- Generation of a comprehensive dataset of real and synthetic data for training and validation of predictive battery consumption models in electric vehicles.
- Advanced predictive models to estimate battery consumption considering various impact factors.
- Algorithms for optimizing energy-efficient routes.
- Real-time eco-driving recommendation engine,
- Implementation of a virtual simulation environment for test and evaluation.
- Enrichment of cartography with terrain elevation data.
- Generation of a comprehensive dataset of real and synthetic data for training and validation of predictive battery consumption models in electric vehicles.
- Advanced predictive models to estimate battery consumption considering various impact factors.
- Algorithms for optimizing energy-efficient routes.
- Real-time eco-driving recommendation engine,
- Implementation of a virtual simulation environment for test and evaluation.
- Enrichment of cartography with terrain elevation data.