Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning, «IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS», 2026, 13, Article number: 11339521 , pp. 674 - 685 [Scientific article]Open Access
Messilem, A. Mohamed; Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe; Carli, Ruggero, A Distributed MILP-ADMM Framework for Italian Energy Communities: Shared Energy Incentives, Renewables, and Shiftable Loads, in: IFAC-PapersOnLine, Elsevier B.V., 2025, 59, pp. 19 - 24 (atti di: 1st IFAC Workshop on Smart Energy System for Efficient and Sustainable Smart Grids and Smart Cities, SENSYS 2025, Politecnico di Bari, ita, 2025) [Contribution to conference proceedings]Open Access
Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, A Feedback-Based Distributed Method for Multiscale Optimal Control of Multi-Agent Systems, in: 2025 IEEE 64th Conference on Decision and Control (CDC), New York, IEEE, 2025, pp. 1863 - 1868 (atti di: 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 09-12/12/2025) [Contribution to conference proceedings]Open Access
Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, Distributed learning and optimization of a multi-agent macroscopic probabilistic model, «EUROPEAN JOURNAL OF CONTROL», 2025, 86, Article number: 101332 , pp. 1 - 7 [Scientific article]Open Access
Brumali, R.; Carnevale, G.; Notarstefano, G., A Deep Learning Approach for Distributed Aggregative Optimization with Users’ Feedback, in: Proceedings of Machine Learning Research, ML Research Press, 2024, 242, pp. 1552 - 1564 (atti di: 6th Annual Learning for Dynamics and Control Conference, L4DC 2024, Oxford, 2024) [Contribution to conference proceedings]Open Access
Brumali, Riccardo; Carnevale, Guido; Carli, Ruggero; Notarstefano, Giuseppe, A Distributed Algorithm for Coordination in Energy Communities *, in: IEEE International Conference on Automation Science and Engineering, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE Computer Society, 2024, pp. 2091 - 2096 (atti di: 20th IEEE International Conference on Automation Science and Engineering, CASE 2024, ita, 2024) [Contribution to conference proceedings]Open Access
