Open Data Academy Challenge Award

An initiative for master's students

The academic community plays a decisive role in the production of knowledge and innovation, which are driving forces behind the energy transition.

Open Data Academy Challenge

What is this initiative?

The Open Data Academy Challenge Award aims to recognize master’s dissertations and projects focused on the topic of the energy transition that use data from the Open Data Portal as a source for their research.

With this Open Data outreach project aimed at the scientific and technological community, E-REDES seeks to encourage solutions that transform power grid data into value for society.

Applications are open

Applications for the 3rd edition of the Open Data Academy Challenge Award are now open and will run until December 31, 2026. This initiative is aimed at master’s students at universities and polytechnic institutes across mainland Portugal, from north to south.

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  1. Applicant's Details
  2. School Data
  3. Uploading Files
  4. Commitment of Honor and Declaration of Consent
  5. Complete

Applicant's Details

Fields marked with * must be filled in.
Full Name Birth Date Type of ID Document No. of Identification Document No. of Identification Document Nationality Tax Identification Number Email Cell Phone Number 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.

Meet the members of the Jury

Ana Pinto Martinho

Editor of EJO in Portuguese, lecturer at ISCTE-IUL and researcher at OberCom and CIES-IUL.

Carlos Santos

Chairman of the Board of RNAE and Director General of ENERAREA and AMCB.

João Martins de Carvalho

João Martins de Carvalho

Member of the Executive Board of E-REDES and Member of the Non-Executive Board of EDP REDES ESPAÑA.

José Cano Rodríguez

University Professor in Electrical, Electronic, Communications, and Systems Engineering at the University of Oviedo.

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Manuela Fonseca

Director of Energy Planning and Statistics Services at the Directorate-General for Energy and Geology (DGEG).

Frequently Asked Questions

  1. 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.

  2. 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%.

  3. 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.

  4. For more information, candidates can email premio.opendata@e-redes.pt.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Yes.

  10. No.

  11. 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.
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