% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Huang:1053039,
      author       = {Fernengel, Natascha and Xhonneux, André and Holtwerth,
                      Alexander and Hehemann, Michael and Hoppe, Eugen and
                      Waczowicz, Simon and Förderer, Kevin and Hagenmeyer, Veit
                      and Müller, Dirk},
      othercontributors = {Huang, Haoyu},
      title        = {{T}owards {ICT}-{E}nabled {M}ulti-agent {B}ased
                      {O}perations in {L}ocal {E}nergy {C}ommunities: {A} {P}roof
                      of {C}oncept},
      journal      = {Energy informatics},
      issn         = {2520-8942},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2026-01379},
      pages        = {323-340},
      year         = {2025},
      abstract     = {The growing decentralization of energy systems requires
                      scalable, flexible coordination of distributed generation,
                      energy storage, and demand-side flexibility among local
                      energy communities. This work builds upon the agent-based
                      scheduling framework MASSIVE, extend-ing its capabilities to
                      operate in real-world settings. Within the extensive
                      framework, agents participate in the local electricity
                      market by submitting bids based on operational constraints
                      and preferences of local energy components or aggregates,
                      such as a campus. Optimized setpoints derived from market
                      clearing are sent as control signals to physical or
                      simulated assets. To enable the transmission to be modular,
                      interoperable, and responsive in real time, we extend the
                      MASSIVE framework with a lightweight, MQTT-based layer. We
                      validate the applicability of these control signals through
                      a series of experiments involving real hardware and
                      technical and safety constraints. Additionally, a
                      geographically distant battery system was incorporated in
                      real time and it effectively followed market-driven
                      setpoints. The results confirm that a decentralized,
                      agent-based market coordination model facilitates flexible
                      integration of physical energy systems. Plug-and-play
                      functionality, heterogeneous control strategies, and
                      interconnection across regions are collectively offeredby
                      the framework, thereby providing a robust path to smart
                      energy communities.},
      month         = {Aug},
      date          = {2026-08-20},
      organization  = {Nordic Energy Informatics Academy
                       Conference 2025, Stockholm (Sweden), 20
                       Aug 2026 - 22 Aug 2026},
      cin          = {ICE-1},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)ICE-1-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112) / 1123 - Smart Areas and
                      Research Platforms (POF4-112) / LLEC - Living Lab Energy
                      Campus (LLEC-2018-2023)},
      pid          = {G:(DE-HGF)POF4-1121 / G:(DE-HGF)POF4-1123 /
                      G:(DE-HGF)LLEC-2018-2023},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      doi          = {10.34734/FZJ-2026-01379},
      url          = {https://juser.fz-juelich.de/record/1053039},
}