EnergySHR
A platform for energy dataset sharing and communications
Zaman Ziabakhshganji ( Erasmus Universiteit Rotterdam)
Mathijs M. De Weerdt (TU Delft - Algorithmics)
S. Deb (TU Delft - Research Engineering & Infrastructure Team)
C.G. Duterloo (TU Delft - Corporate Innovations)
Yashar Ghiassi-Farrokhfal ( Erasmus Universiteit Rotterdam)
Doron Gollnast ( Erasmus Universiteit Rotterdam)
Jhon Jairo Quinones Cortes (TU Delft - Algorithmics)
Alicia Julia Wilson Takaoka ( Erasmus Universiteit Rotterdam)
Simon H. Tindemans (TU Delft - Intelligent Electrical Power Grids)
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Abstract
Because the energy transition is a critical and urgent issue that is increasingly reliant on data, the Center for Energy System Intelligence (CESI), a Convergence collaboration between TU Delft and Erasmus University Rotterdam, has developed a platform where researchers on the energy transition can share, publish, and/or find energy-related datasets and algorithms: EnergySHR. This platform aims to accelerate energy transition research into intelligent, data-driven algorithms. In this demonstration, we present the EnergySHR platform as both a platform for storing, accessing, managing, and archiving datasets as well as a tool to conduct empirical research about platformization and data-driven decision-making about the energy transition.
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File under embargo until 16-12-2025