Managing human involvement in an energy community: Application to a subway station

Energy communities become increasingly diverse, as sharing mechanisms and artificial intelligence become an important component of the cooperation between people and energy systems. This cooperation can play an important role at municipality level, where transportation systems that consume huge quantities of energy (i.e. subway networks) could become more efficient and sustainable, with the active involvement of people. In this context, the authors propose a method to manage the involvement of people in the cooperation mechanism established between an energy community and a subway station. The method relies on a multi-objective recommendation strategy that provides the members the optimal times to commute in order to provide a positive environmental and economical impact at municipality level, while also considering human dissatisfaction. The strategy is simulated in a multi-agent model, where agents represent commuting passengers. Results show that important economical and environmental performances may still be obtained when both the system performance and human dissatisfaction are minimised.

• Record URL:
  • https://doi.org/10.1016/j.scs.2023.104597
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2210670723002081
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Simoiu, Mircea Stefan
  • Fagarasan, Ioana
  • Ploix, Stéphane
  • Calofir, Vasile
• Publication Date: 2023-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 104597
• Serial:
  • Sustainable Cities and Society
  • Volume: 95
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-6707
  • Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2

Subject/Index Terms

• TRT Terms: Communities; Commuters; Energy; Multi-agent systems; Optimization; Subway stations
• Subject Areas: Energy; Operations and Traffic Management; Public Transportation; Terminals and Facilities;

Filing Info

• Accession Number: 01885557
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 22 2023 9:49AM