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Data-driven predictive control for demand side management: theoretical and experimental results
Yin, M., Cai, H., Gattiglio, A., Khayatian, F., Smith, R. S., & Heer, P. (2024). Data-driven predictive control for demand side management: theoretical and experimental results. Applied Energy, 353, 122101 (12 pp.). https://doi.org/10.1016/j.apenergy.2023.122101
Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control
Bünning, F., Heer, P., Smith, R. S., & Lygeros, J. (2023). Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control. Advances in Applied Energy, 10, 100130 (12 pp.). https://doi.org/10.1016/j.adapen.2023.100130
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