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SpatiotEmporal ForEcasting: Coopetition to meet Current Cross-modal Challenges

Objective

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 hundreds of participants, we aim to compile and test data grounded on large-scale open European datasets and including specially prepared grid traffic data from Europe’s largest Transportation System Operator. The competition evaluates forecasting algorithms on a cloud platform, tracking accuracy and computational efficiency. Emphasizing cross-specialization knowledge transfer and openness to novel technologies which may spring from different subsectors, we aim to build a platform allowing for coopetitions: the ad-hoc coalescence of competing teams during a challenge aimed at forming sustainable partnerships past the prize scheme itself. We will provide comprehensive documentation for a freely extensible open-source cloud-based specialized computing platform (assembling existing, well tested tools) allowing automated evaluation and feedback as in our latest competitions, but scaled to big data needs. We aim to test this platform and provide baseline results in a smaller scale mini-competition (hackathon). Thus we shall lay the groundwork for a larger prize competition in which evaluation data for predictions may arrive in real or near-real time. We also aim to use our wide contacts with industry, domain and data experts and past participants and winners in order to organize focused meetings of panels to refine value chains in data and algorithms as well as conference workshops, talks and newsletters dedicated to widely advertising challenges to past and new participants.

Coordinator

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Net EU contribution
€ 330 000,00
Address
Hansastrasse 27c
80686 Munchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
Non-EU contribution
€ 0,00

Participants (4)

UNIVERSITE D'AIX MARSEILLE
France
Net EU contribution
€ 201 125,00
Address
Boulevard Charles Livon 58 Le Pharo
13284 Marseille

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Region
Provence-Alpes-Côte d’Azur Provence-Alpes-Côte d’Azur Bouches-du-Rhône
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
UNIVERSITAT DE BARCELONA
Spain
Net EU contribution
€ 145 193,75
Address
Gran Via De Les Corts Catalanes 585
08007 Barcelona

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Region
Este Cataluña Barcelona
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
Third-party

Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.

CENTRE DE VISIO PER COMPUTADOR
Spain
Net EU contribution
€ 67 362,50
Address
Campus Uab Edifici O
08193 Bellaterra Cerdanyola Del Valles

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
Non-EU contribution
€ 0,00
RTE RESEAU DE TRANSPORT D'ELECTRICITE
France
Net EU contribution
€ 17 125,00
Address
Immeuble Window - 7c Place Du Dome
92073 Paris La Defense Cedex

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Region
Ile-de-France Ile-de-France Hauts-de-Seine
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00