EnergySHR: A platform for energy dataset sharing and communications

Zaman Ziabakhshganji; Mathijs de Weerdt; Sreeparna Deb; Caroline Duterloo; Yashar Ghiassi-Farrokhfal; Doron Gollnast; Jhon Jairo Quinones-Cortes; Alicia Julia Wilson Takaoka; Simon Tindemans; null More Authors

doi:10.1145/3679240.3734680

EnergySHR: A platform for energy dataset sharing and communications

Zaman Ziabakhshganji, Mathijs de Weerdt, Sreeparna Deb, Caroline Duterloo, Yashar Ghiassi-Farrokhfal, Doron Gollnast, Jhon Jairo Quinones-Cortes, Alicia Julia Wilson Takaoka^*, Simon Tindemans, More Authors

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	989-991
Number of pages	3
ISBN (Electronic)	9798400711251
DOIs	https://doi.org/10.1145/3679240.3734680
Publication status	Published - 2025
Event	16th ACM International Conference on Future and Sustainable Energy Systems, E-ENERGY 2025 - Rotterdam, Netherlands Duration: 17 Jun 2025 → 20 Jun 2025 https://energy.acm.org/conferences/eenergy/2025/

Conference

Conference	16th ACM International Conference on Future and Sustainable Energy Systems, E-ENERGY 2025
Country/Territory	Netherlands
City	Rotterdam
Period	17/06/25 → 20/06/25
Internet address	https://energy.acm.org/conferences/eenergy/2025/

Bibliographical note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

data sharing
energy datasets
energy transition
EnergySHR
platformization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3679240.3734680

Cite this

Ziabakhshganji, Z., de Weerdt, M., Deb, S., Duterloo, C., Ghiassi-Farrokhfal, Y., Gollnast, D., Quinones-Cortes, J. J., Wilson Takaoka, A. J., Tindemans, S., & More Authors (2025). EnergySHR: A platform for energy dataset sharing and communications. In E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems (pp. 989-991). Association for Computing Machinery (ACM). https://doi.org/10.1145/3679240.3734680

@inproceedings{eedc5edd943a4629aaa6728507b9448e,

title = "EnergySHR: A platform for energy dataset sharing and communications",

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.",

keywords = "data sharing, energy datasets, energy transition, EnergySHR, platformization",

author = "Zaman Ziabakhshganji and {de Weerdt}, Mathijs and Sreeparna Deb and Caroline Duterloo and Yashar Ghiassi-Farrokhfal and Doron Gollnast and Quinones-Cortes, {Jhon Jairo} and {Wilson Takaoka}, {Alicia Julia} and Simon Tindemans and {More Authors}",

note = "Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 16th ACM International Conference on Future and Sustainable Energy Systems, E-ENERGY 2025 ; Conference date: 17-06-2025 Through 20-06-2025",

year = "2025",

doi = "10.1145/3679240.3734680",

language = "English",

pages = "989--991",

booktitle = "E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

url = "https://energy.acm.org/conferences/eenergy/2025/",

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Ziabakhshganji, Z, de Weerdt, M , Deb, S, Duterloo, C, Ghiassi-Farrokhfal, Y, Gollnast, D, Quinones-Cortes, JJ, Wilson Takaoka, AJ, Tindemans, S & More Authors 2025, EnergySHR: A platform for energy dataset sharing and communications. in E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems. Association for Computing Machinery (ACM), New York, NY, pp. 989-991, 16th ACM International Conference on Future and Sustainable Energy Systems, E-ENERGY 2025, Rotterdam, Netherlands, 17/06/25. https://doi.org/10.1145/3679240.3734680

EnergySHR: A platform for energy dataset sharing and communications. / Ziabakhshganji, Zaman; de Weerdt, Mathijs ; Deb, Sreeparna et al.
E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems. New York, NY: Association for Computing Machinery (ACM), 2025. p. 989-991.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - EnergySHR

T2 - 16th ACM International Conference on Future and Sustainable Energy Systems, E-ENERGY 2025

AU - Ziabakhshganji, Zaman

AU - de Weerdt, Mathijs

AU - Deb, Sreeparna

AU - Duterloo, Caroline

AU - Ghiassi-Farrokhfal, Yashar

AU - Gollnast, Doron

AU - Quinones-Cortes, Jhon Jairo

AU - Wilson Takaoka, Alicia Julia

AU - Tindemans, Simon

AU - More Authors, null

N1 - Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - data sharing

KW - energy datasets

KW - energy transition

KW - EnergySHR

KW - platformization

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U2 - 10.1145/3679240.3734680

DO - 10.1145/3679240.3734680

M3 - Conference contribution

AN - SCOPUS:105016418039

SP - 989

EP - 991

BT - E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems

PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 17 June 2025 through 20 June 2025

ER -

Ziabakhshganji Z, de Weerdt M , Deb S, Duterloo C, Ghiassi-Farrokhfal Y, Gollnast D et al. EnergySHR: A platform for energy dataset sharing and communications. In E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems. New York, NY: Association for Computing Machinery (ACM). 2025. p. 989-991 doi: 10.1145/3679240.3734680

EnergySHR: A platform for energy dataset sharing and communications

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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