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Towards pro-social load balancing in energy communities

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BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Pages 240 - 241

https://doi.org/10.1145/3486611.3492235

Published: 17 November 2021 Publication History

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Abstract

Having emerged as a new paradigm to re-structure energy systems around citizens, energy communities have quickly gained the attention of researchers worldwide. Nevertheless, a significant challenge is the lack of datasets and tools to support research developments at scale. As such, this paper presents the PRO-social energy Community SIMulator, an open-source project to support the development and evaluation of pro-social energy management schemes in energy communities.

References

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Nathan A. Brooks, Simon T. Powers, and James M. Borg. 2020. A Mechanism to Promote Social Behaviour in Household Load Balancing. In ALIFE 2020: The 2020 Conference on Artificial Life. MIT Press, 95--103.

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N. Buneeva and A. Reinhardt. 2017. AMBAL: Realistic load signature generation for load disaggregation performance evaluation. In 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm). 443--448.

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Gabriella Dóci, Eleftheria Vasileiadou, and Arthur C. Petersen. 2015. Exploring the transition potential of renewable energy communities. Futures 66 (Feb. 2015), 85--95.

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Hussain Kazmi, Íngrid Munné-Collado, Fahad Mehmood, Tahir Abbas Syed, and Johan Driesen. 2021. Towards Data-Driven Energy Communities: A Review of Open-Source Datasets, Models and Tools. Renewable and Sustainable Energy Reviews 148 (Sept. 2021), 111290.

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Index Terms

Towards pro-social load balancing in energy communities
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
  2. Modeling and simulation
    1. Simulation support systems
      1. Simulation tools
2. Hardware
  1. Power and energy
    1. Energy distribution
      1. Smart grid
    2. Energy generation and storage
      1. Renewable energy

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Information & Contributors

Information

Published In

BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 2021

388 pages

ISBN:9781450391146

DOI:10.1145/3486611

General Chair:
Xiaofan (Fred) Jiang
Columbia University
,
Program Chairs:
Omprakash Gnawali
University of Houston
,
Zoltan Nagy
The University of Texas Austin

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 November 2021

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Poster

Funding Sources

Fundação Ciência e Tecnologia
Fundação Ciência e Tecnologia

Conference

BuildSys '21

Sponsor:

SIGEnergy

BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 17 - 18, 2021

Coimbra, Portugal

Acceptance Rates

BuildSys '21 Paper Acceptance Rate 28 of 107 submissions, 26%;

Overall Acceptance Rate 148 of 500 submissions, 30%

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