| 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 |