CORDIS Project
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This project focuses on developing a cloud-based platform for forecasting spatiotemporal data in sectors like energy and public policy. It aims to facilitate competitions for forecasting algorithms, encouraging collaboration among participants and improving prediction accuracy using large-scale datasets.
Fast, accurate forecasting of spatiotemporal data is needed in critical industrial domains such as energy (prediction of spatiotemporal patterns in renewable generation, usage and traffic) as well as in public policy.
The task is so challenging in scale and scope however as to have been confined mainly to research, while past prize competitions have been limited to forecasts of single dimensional values.
Building on our proven success in numerous prize-driven past data challenges, attracting hu…
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
France, Marseille
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Spain, Barcelona
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Spain, Cerdanyola del Valles
Type: Research institute
Activity type: Research Organisations
SME: No
RTE RESEAU DE TRANSPORT D'ELECTRICITE
France, Paris
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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