001053039 001__ 1053039
001053039 005__ 20260129203534.0
001053039 0247_ $$2datacite_doi$$a10.34734/FZJ-2026-01379
001053039 037__ $$aFZJ-2026-01379
001053039 082__ $$a333.7
001053039 1001_ $$0P:(DE-Juel1)199719$$aHuang, Haoyu$$b0$$eB$$ufzj
001053039 1112_ $$aNordic Energy Informatics Academy Conference 2025$$cStockholm$$d2026-08-20 - 2026-08-22$$gEIA Nordic 2025$$wSweden
001053039 245__ $$aTowards ICT-Enabled Multi-agent Based Operations in Local Energy Communities: A Proof of Concept
001053039 260__ $$aCham$$bSpringer International Publishing$$c2025
001053039 300__ $$a323-340
001053039 3367_ $$2ORCID$$aCONFERENCE_PAPER
001053039 3367_ $$033$$2EndNote$$aConference Paper
001053039 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$mjournal
001053039 3367_ $$2BibTeX$$aINPROCEEDINGS
001053039 3367_ $$2DRIVER$$aconferenceObject
001053039 3367_ $$2DataCite$$aOutput Types/Conference Paper
001053039 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1769679690_4216
001053039 520__ $$aThe growing decentralization of energy systems requires scalable, flexible coordination of distributed generation, energy storage, and demand-side flexibility among local energy communities. This work builds upon the agent-based scheduling framework MASSIVE, extend-ing its capabilities to operate in real-world settings. Within the extensive framework, agents participate in the local electricity market by submitting bids based on operational constraints and preferences of local energy components or aggregates, such as a campus. Optimized setpoints derived from market clearing are sent as control signals to physical or simulated assets. To enable the transmission to be modular, interoperable, and responsive in real time, we extend the MASSIVE framework with a lightweight, MQTT-based layer. We validate the applicability of these control signals through a series of experiments involving real hardware and technical and safety constraints. Additionally, a geographically distant battery system was incorporated in real time and it effectively followed market-driven setpoints. The results confirm that a decentralized, agent-based market coordination model facilitates flexible integration of physical energy systems. Plug-and-play functionality, heterogeneous control strategies, and interconnection across regions are collectively offeredby the framework, thereby providing a robust path to smart energy communities.
001053039 536__ $$0G:(DE-HGF)POF4-1121$$a1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112)$$cPOF4-112$$fPOF IV$$x0
001053039 536__ $$0G:(DE-HGF)POF4-1123$$a1123 - Smart Areas and Research Platforms (POF4-112)$$cPOF4-112$$fPOF IV$$x1
001053039 536__ $$0G:(DE-HGF)LLEC-2018-2023$$aLLEC - Living Lab Energy Campus (LLEC-2018-2023)$$cLLEC-2018-2023$$x2
001053039 588__ $$aDataset connected to DataCite
001053039 65027 $$0V:(DE-MLZ)SciArea-250$$2V:(DE-HGF)$$aOthers$$x0
001053039 65017 $$0V:(DE-MLZ)GC-110$$2V:(DE-HGF)$$aEnergy$$x0
001053039 7001_ $$aFernengel, Natascha$$b1
001053039 7001_ $$0P:(DE-Juel1)8457$$aXhonneux, André$$b2$$ufzj
001053039 7001_ $$0P:(DE-Juel1)180106$$aHoltwerth, Alexander$$b3
001053039 7001_ $$0P:(DE-Juel1)129857$$aHehemann, Michael$$b4$$ufzj
001053039 7001_ $$0P:(DE-Juel1)171318$$aHoppe, Eugen$$b5$$ufzj
001053039 7001_ $$aWaczowicz, Simon$$b6
001053039 7001_ $$aFörderer, Kevin$$b7
001053039 7001_ $$aHagenmeyer, Veit$$b8
001053039 7001_ $$0P:(DE-Juel1)172026$$aMüller, Dirk$$b9$$ufzj
001053039 773__ $$0PERI:(DE-600)2942905-5$$tEnergy informatics$$x2520-8942$$y2025
001053039 8564_ $$uhttps://juser.fz-juelich.de/record/1053039/files/Full%20paper%20%28publicly%20available%29.pdf$$yOpenAccess
001053039 909CO $$ooai:juser.fz-juelich.de:1053039$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001053039 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)199719$$aForschungszentrum Jülich$$b0$$kFZJ
001053039 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)8457$$aForschungszentrum Jülich$$b2$$kFZJ
001053039 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129857$$aForschungszentrum Jülich$$b4$$kFZJ
001053039 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171318$$aForschungszentrum Jülich$$b5$$kFZJ
001053039 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172026$$aForschungszentrum Jülich$$b9$$kFZJ
001053039 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1121$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x0
001053039 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1123$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x1
001053039 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-07
001053039 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001053039 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-04-10T15:38:07Z
001053039 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-04-10T15:38:07Z
001053039 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001053039 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2024-04-10T15:38:07Z
001053039 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2025-01-07
001053039 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-07
001053039 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2025-01-07
001053039 920__ $$lyes
001053039 9201_ $$0I:(DE-Juel1)ICE-1-20170217$$kICE-1$$lModellierung von Energiesystemen$$x0
001053039 980__ $$acontrib
001053039 980__ $$aVDB
001053039 980__ $$aUNRESTRICTED
001053039 980__ $$ajournal
001053039 980__ $$aI:(DE-Juel1)ICE-1-20170217
001053039 9801_ $$aFullTexts