Open Data Academy Challenge Award

The Open Data Academy Challenge aims to reward dissertations and master's projects that focus on the theme of energy transition and that use data from the Open Data Portal as a source for their research.

This initiative is aimed at master's students at universities and polytechnics from the north to the south of mainland Portugal.

With this project to disseminate Open Data to the scientific and technological system, E-REDES aims to encourage solutions that transform electricity grid data into value for society.

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Applications for the 3rd edition of the Open Data Academy Challenge are now open and will remain so until 31 December 2026.

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Applicant's Details
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Applicant's Details

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	Full Name	Birth Date	Type of ID Document Citizen Card or Identity Card Passport	No. of Identification Document	No. of Identification Document	Nationality	Tax Identification Number	Email	Cell Phone Number	Item weight

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Meet the winners of the 2nd edition

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Drivers of Self-Consumption and Electric Mobility in Portuguese Municipalities: Econometric and Machine Learning Insights

Catarina Silva, Instituto Superior Técnico

A study examining, at the municipal level in Portugal, the socio-economic, infrastructural, environmental and public policy factors associated with electric mobility and self-consumption.

Simulation model for the technical and economic management of Renewable Energy Communities

Henrique Rica, Universidade de Évora

Development of a simulation model for the technical and economic management of Renewable Energy Communities for the University of Évora and the Évora Humanitarian Centre of the Portuguese Red Cross.

Machine Learning as a Service for Renewable Energy Communities

Rafael Fernandes Gonçalves, Universidade de Aveiro

The project proposes a machine learning service solution in which each microgrid within an Energy Community operates using a reinforcement learning agent, tailored to its specific needs and incorporating electricity price forecasts to improve decision-making.

Honourable Mention: Determinants of UPAC Implementation in Portugal: A Multivariate and Cluster Analysis

Ana Sofia Rodrigues, ISCTE - Instituto Universitário de Lisboa

This thesis analyses the spread of self-consumption generation units across Portuguese municipalities and sets out public policy recommendations to accelerate their adoption.

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Prize

1st Prize: 6000€ | 2nd Prize: 4000€ | 3rd Prize: 2000€

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For more information, please contact: premio.opendata@e-redes.pt

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Frequently Asked Questions

Is it necessary to submit the thesis abstract?

Yes. The presentation of a brief summary of the dissertation or project, with a maximum of 1,500 characters, is one of the mandatory elements to be submitted on the form, made available for this purpose on the E-REDES website, on the page dedicated to the Prize.
What are the criteria for evaluating the work?

The analysis and evaluation of the dissertations or projects will be carried out according to an evaluation matrix that will take into account:

a. Relevance of data from the Open Data Portal to research - 30%.

b. Contribution of the dissertation or project to the field of energy transition - 50%.

c. Pitch (maximum 1 minute) - 20%.
Are only datasets from the Open Data Portal taken into account?

It is compulsory to use datasets from the Portal in your dissertation or project, or at least one, and the quality of the analysis based on this data will be valued (up to 30%). However, the use of data from other sources is also allowed as a complement and/or correlation.
Where can I contact if I have any questions about the prize?

For more information, candidates can email premio.opendata@e-redes.pt.
Which are the entities represented on the Jury?

In addition to E-REDES, the organizations represented on the E-REDES Open Data Academy Challenge Jury are: RNAE - Associação das Agências de Energia e Ambiente; DGEG - Direção-Geral de Energia e Geologia; ISCTE – Instituto Universitário de Lisboa; Universidad de Oviedo
The jury, made up of Ana Pinto Martinho, Carlos Santos, João Martins de Carvalho, José Cano Rodríguez and Manuela Fonseca, will select the winning candidates from the shortlist received from the Technical Committee by simple majority vote.
Are dissertations submitted before 2023/2024 eligible to apply?

Authors of dissertations or master's projects at national higher education institutions (universities and polytechnics) completed and classified in the years 2023 or 2024 are eligible to apply for the prize. Works completed and classified in years prior to 2023 will not be accepted.
Can students from master's degrees taught jointly by Portuguese and foreign universities apply?

This edition of the E-REDES Open Data Academy Challenge will only consider work submitted by students enrolled in national universities and polytechnics, and which has been assessed and classified by Portuguese educational institutions.
Are group projects accepted?

Yes. Authors of Master's dissertations or projects at national higher education institutions (universities and polytechnics) can apply for the prize, either individually or as a group.

Applicants must indicate the name(s) of the author(s) of the dissertation or project and their national identity card number, as well as their telephone number(s) and e-mail address(es) on the form available on the E-REDES website, on the page dedicated to the Prize.
Do the projects have to be carried out as part of the master's degree?

Yes.
Are scientific articles accepted?

No.
Is work only accepted for the purpose of obtaining a master's degree?
Yes. Candidates must submit the following mandatory elements on the form, available for this purpose on the E-REDES website, on the page dedicated to the Prize:

Title of the Dissertation or Project, as well as the classification and date on which it was completed and classified;

A copy of the qualification certificate awarding the candidate a Master's degree from the Higher Education Institution or, in cases where the candidate has not yet received a Master's degree diploma, a copy of the document from the Higher Education Institution proving that the Dissertation or Project has already been submitted and classified.