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ECOOP: Applying Dynamic Coalition Formation to the Power Regulation Problem in Smart Grids.

, , and . Comput. Intell., 33 (3): 401-427 (2017)

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Collaborative Sensing with Interactive Learning using Dynamic Intelligent Virtual Sensors., , , and . Sensors, 19 (3): 477 (2019)Desiderata for Agent-Based Power Regulation Protocols in Smart Grids., , and . AT, volume 918 of CEUR Workshop Proceedings, page 438-439. CEUR-WS.org, (2012)Towards intent-aware and privacy-preserving image processing systems., , and . IOT Companion, page 3:1-3:6. ACM, (2020)A weakly-supervised deep domain adaptation method for multi-modal sensor data.. GCAIoT, page 45-50. IEEE, (2021)A Genetic Algorithm for Optimizing Mobile Stroke Unit Deployment., , , , , and . KES, volume 225 of Procedia Computer Science, page 3536-3545. Elsevier, (2023)e COOP: Privacy-Preserving Dynamic Coalition Formation for Power Regulation in the Smart Grid., , and . AT, volume 8068 of Lecture Notes in Computer Science, page 19-31. Springer, (2013)Detection of Collusive Behavior in Energy Markets., , and . AT, volume 918 of CEUR Workshop Proceedings, page 353-365. CEUR-WS.org, (2012)An Optimization Model for Group Formation in Project-based Learning., , and . HICSS, page 1-9. ScholarSpace, (2020)Multimodal Deep Learning for Group Activity Recognition in Smart Office Environments., and . Future Internet, 12 (8): 133 (2020)Dynamic Coalition Adaptation for Efficient Agent-Based Virtual Power Plants., , and . MATES, volume 6973 of Lecture Notes in Computer Science, page 101-112. Springer, (2011)