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Computationally efficient reinforcement learning: targeted exploration leveraging simple rules
Di Natale, L., Svetozarevic, B., Heer, P., & Jones, C. N. (2024). Computationally efficient reinforcement learning: targeted exploration leveraging simple rules. In Proceedings of the IEEE conference on decision and control (CDC) (pp. 2334-2339). https://doi.org/10.1109/CDC49753.2023.10384283
Renovated or replaced? Finding the optimal solution for an existing building considering cumulative CO<sub>2</sub> emissions, energy consumption and costs - a case study
Dominguez, C., Kakkos, E., Gross, D., Hischier, R., & Orehounig, K. (2024). Renovated or replaced? Finding the optimal solution for an existing building considering cumulative CO2 emissions, energy consumption and costs - a case study. Energy and Buildings, 303, 113767 (21 pp.). https://doi.org/10.1016/j.enbuild.2023.113767
Model predictive control in buildings with thermal and visual comfort constraints
Khosravi, M., Huber, B., Decoussemaeker, A., Heer, P., & Smith, R. S. (2024). Model predictive control in buildings with thermal and visual comfort constraints. Energy and Buildings, 306, 113831 (10 pp.). https://doi.org/10.1016/j.enbuild.2023.113831
The impact of facade geometry on visual comfort and energy consumption in an office building in different climates
Mahdavinejad, M., Bazazzadeh, H., Mehrvarz, F., Berardi, U., Nasr, T., Pourbagher, S., & Hoseinzadeh, S. (2024). The impact of facade geometry on visual comfort and energy consumption in an office building in different climates. Energy Reports, 11, 1-17. https://doi.org/10.1016/j.egyr.2023.11.021
A tractable truthful profit maximization mechanism design with autonomous agents
Montazeri, M., Kebriaei, H., & Araabi, B. N. (2024). A tractable truthful profit maximization mechanism design with autonomous agents. IEEE Transactions on Automatic Control, 1-6. https://doi.org/10.1109/TAC.2024.3360335
Spatial carbon and price spillovers among EU countries on their pathway toward net-zero electricity supply
Romano, E., Mutschler, R., Hollmuller, P., Sulzer, M., Orehounig, K., & Rüdisüli, M. (2024). Spatial carbon and price spillovers among EU countries on their pathway toward net-zero electricity supply. Energy Economics, 131, 107349 (23 pp.). https://doi.org/10.1016/j.eneco.2024.107349
Data-driven adaptive building thermal controller tuning with constraints: a primal–dual contextual Bayesian optimization approach
Xu, W., Svetozarevic, B., Di Natale, L., Heer, P., & Jones, C. N. (2024). Data-driven adaptive building thermal controller tuning with constraints: a primal–dual contextual Bayesian optimization approach. Applied Energy, 358, 122493 (13 pp.). https://doi.org/10.1016/j.apenergy.2023.122493
Lower bounds on the noiseless worst-case complexity of efficient global optimization
Xu, W., Jiang, Y., Maddalena, E. T., & Jones, C. N. (2024). Lower bounds on the noiseless worst-case complexity of efficient global optimization. Journal of Optimization Theory and Applications. https://doi.org/10.1007/s10957-024-02399-1
The impacts of the informal economy, climate migration, and rising temperatures on energy system planning
Yazdanie, M., Frimpong, P. B., Dramani, J. B., & Orehounig, K. (2024). The impacts of the informal economy, climate migration, and rising temperatures on energy system planning. Energy Reports, 11, 165-178. https://doi.org/10.1016/j.egyr.2023.11.041
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
A semantic data framework to support data-driven demand forecasting
Allan, J., Mangili, F., Derboni, M., Gisler, L., Hainoun, A., Rizzoli, A., … Sulzer, M. (2023). A semantic data framework to support data-driven demand forecasting. In Journal of physics: conference series: Vol. 2600. Energy & thermal management systems (p. 022001 (6 pp.). https://doi.org/10.1088/1742-6596/2600/2/022001
Digicities. Urban digital layers to support the energy transition of cities
Allan, J., Mangili, F., & Derboni, M. (2023). Digicities. Urban digital layers to support the energy transition of cities. Swiss Federal Office of Energy SFOE.
Performance gaps between energy system planning and operation: a study exploring the impacts of model fidelity and dispatch strategy
Beaud, M., Cai, H., Perera, A. T. D., & Heer, P. (2023). Performance gaps between energy system planning and operation: a study exploring the impacts of model fidelity and dispatch strategy. In Journal of physics: conference series: Vol. 2600. Energy performance modelling (p. 032016 (6 pp.). https://doi.org/10.1088/1742-6596/2600/3/032016
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
Data-driven modeling of heat pumps and thermal storage units for MPC
Brandes, M., Cai, H., Vivian, J., Croci, L., Heer, P., & Smith, R. (2023). Data-driven modeling of heat pumps and thermal storage units for MPC. In Journal of physics: conference series: Vol. 2600. Energy performance modelling (p. 032008 (6 pp.). https://doi.org/10.1088/1742-6596/2600/3/032008
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
Circular economy meets building automation
Cai, H. (2023). Circular economy meets building automation. In Journal of physics: conference series: Vol. 2600. Energy performance modelling (p. 192011 (6 pp.). https://doi.org/10.1088/1742-6596/2600/19/192011
Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain
Chaudry, M., Jayasuriya, L., Hall, J. W., Jenkins, N., Eyre, N., & Eggimann, S. (2023). Simulating flexibility, variability and decentralisation with an integrated energy system model for Great Britain. Scientific Reports, 13, 4772 (14 pp.). https://doi.org/10.1038/s41598-023-31257-9
 

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