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Distributed multi-horizon model predictive control for network of energy hubs
Behrunani, V. N., Cai, H., Heer, P., Smith, R. S., & Lygeros, J. (2024). Distributed multi-horizon model predictive control for network of energy hubs. Control Engineering Practice, 147, 105922 (15 pp.). https://doi.org/10.1016/j.conengprac.2024.105922
Degradation-aware data-enabled predictive control of energy hubs
Behrunani, V., Zagorowska, M., Hudoba de Badyn, M., Ricca, F., Heer, P., & Lygeros, J. (2023). Degradation-aware data-enabled predictive control of energy hubs. In Journal of physics: conference series: Vol. 2600. Predictive & adaptive control (p. 072006 (6 pp.). https://doi.org/10.1088/1742-6596/2600/7/072006
Designing fairness in autonomous peer-to-peer energy trading
Behrunani, V. N., Irvine, A., Belgioioso, G., Heer, P., Lygeros, J., & Dörfler, F. (2023). Designing fairness in autonomous peer-to-peer energy trading. In H. Ishii, Y. Ebihara, Jichi Imura, & M. Yamakita (Eds.), IFAC-PapersOnLine: Vol. 56. IFAC world congress (pp. 3751-3756). https://doi.org/10.1016/j.ifacol.2023.10.1544
Experimental validation for distributed control of energy hubs
Behrunani, V., Heer, P., & Lygeros, J. (2023). Experimental validation for distributed control of energy hubs. In Journal of physics: conference series: Vol. 2600. Predictive & adaptive control (p. 072004 (7 pp.). https://doi.org/10.1088/1742-6596/2600/7/072004
Stochastic MPC for energy hubs using data driven demand forecasting
Micheli, F., Behrunani, V., Mehr, J., Heer, P., & Lygeros, J. (2023). Stochastic MPC for energy hubs using data driven demand forecasting. In H. Ishii, Y. Ebihara, Jichi Imura, & M. Yamakita (Eds.), IFAC-PapersOnLine: Vol. 56. 22nd IFAC world congress, Yokohama, Japan, July 9-14, 2023 (pp. 11026-11031). https://doi.org/10.1016/j.ifacol.2023.10.803
Control of multicarrier energy systems from buildings to networks
Smith, R. S., Behrunani, V., & Lygeros, J. (2023). Control of multicarrier energy systems from buildings to networks. Annual Review of Control, Robotics, and Autonomous Systems, 6(1), 4.1-4.24. https://doi.org/10.1146/annurev-control-042820-125219
Efficient sample selection for safe learning
Zagorowska, M., Balta, E. C., Behrunani, V., Rupenyan, A., & Lygeros, J. (2023). Efficient sample selection for safe learning. In H. Ishii, Y. Ebihara, Jichi Imura, & M. Yamakita (Eds.), IFAC-PapersOnLine: Vol. 56. IFAC world congress (pp. 10107-10112). https://doi.org/10.1016/j.ifacol.2023.10.882