Publications 2024

Behrunani, V. N.; Cai, H.; Heer, P.; Smith, R. S.; Lygeros, J. Distributed multi-horizon model predictive control for network of energy hubs. Control Eng. Pract. 2024, 147, 105922 (15 pp.). https://doi.org/10.1016/j.conengprac.2024.105922
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Cai, H.; Heer, P. Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision. Sustain. Cities Soc. 2024, 111, 105531 (13 pp.). https://doi.org/10.1016/j.scs.2024.105531
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Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V. Real-time coordination of integrated transmission and distribution systems: flexibility modeling and distributed NMPC scheduling. Electr. Power Syst. Res. 2024, 234, 110627 (8 pp.). https://doi.org/10.1016/j.epsr.2024.110627
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Di Natale, L.; Svetozarevic, B.; Heer, P.; Jones, C. N. Computationally efficient reinforcement learning: targeted exploration leveraging simple rules. In Proceedings of the IEEE conference on decision and control (CDC), presented at the 2023 62nd IEEE conference on decision and control (CDC), Singapore, December 13-15, 2023; IEEE, 2024; pp 2334-2339. https://doi.org/10.1109/CDC49753.2023.10384283
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Dominguez, C.; Kakkos, E.; Gross, D.; Hischier, R.; Orehounig, K. Renovated or replaced? Finding the optimal solution for an existing building considering cumulative CO2 emissions, energy consumption and costs - a case study. Energy Build. 2024, 303, 113767 (21 pp.). https://doi.org/10.1016/j.enbuild.2023.113767
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Giannelos, S.; Bellizio, F.; Strbac, G.; Zhang, T. Machine learning approaches for predictions of CO2 emissions in the building sector. Electr. Power Syst. Res. 2024, 235, 110735 (6 pp.). https://doi.org/10.1016/j.epsr.2024.110735
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Heer, P.; Derungs, C.; Huber, B.; Bünning, F.; Fricker, R.; Stoller, S.; Niesen, B. Comprehensive energy demand and usage data for building automation. Sci. Data 2024, 11, 469 (12 pp.). https://doi.org/10.1038/s41597-024-03292-2
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Hunhevicz, J. J.; Hall, D. M.; Brasey, P. A.; Bonanomi, M. M. M.; Fischer, M. Decentralized project delivery on the crypto commons: conceptualization, governance mechanisms, and future research directions. Proj. Leader. Soc. 2024, 5, 100132 (19 pp.). https://doi.org/10.1016/j.plas.2024.100132
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Khosravi, M.; Huber, B.; Decoussemaeker, A.; Heer, P.; Smith, R. S. Model predictive control in buildings with thermal and visual comfort constraints. Energy Build. 2024, 306, 113831 (10 pp.). https://doi.org/10.1016/j.enbuild.2023.113831
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Mahdavinejad, M.; Bazazzadeh, H.; Mehrvarz, F.; Berardi, U.; Nasr, T.; Pourbagher, S.; Hoseinzadeh, S. The impact of facade geometry on visual comfort and energy consumption in an office building in different climates. Energy Rep. 2024, 11, 1-17. https://doi.org/10.1016/j.egyr.2023.11.021
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Montazeri, M.; Kebriaei, H.; Araabi, B. N. A tractable truthful profit maximization mechanism design with autonomous agents. IEEE Trans. Automat. Contr. 2024, 1-6. https://doi.org/10.1109/TAC.2024.3360335
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Parvizi, S.; Montazeri, M.; Kebriaei, H. Contract-based demand response mechanism for commercial and industrial customers. IEEE Trans. Autom. Sci. Eng. 2024. https://doi.org/10.1109/TASE.2024.3389999
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Romano, E.; Mutschler, R.; Hollmuller, P.; Sulzer, M.; Orehounig, K.; Rüdisüli, M. Spatial carbon and price spillovers among EU countries on their pathway toward net-zero electricity supply. Energy Econ. 2024, 131, 107349 (23 pp.). https://doi.org/10.1016/j.eneco.2024.107349
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Wen, Y.; Guo, Y.; Hu, Z.; Hug, G. Multiple joint chance constraints approximation for uncertainty modeling in dispatch problems. IEEE Trans. Power Syst. 2024. https://doi.org/10.1109/TPWRS.2024.3415652
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Wen, Y.; Guo, Y.; Hu, Z.; Hug, G. Stochastic modeling for the aggregated flexibility of distributed energy resources. Electr. Power Syst. Res. 2024, 234, 110628 (7 pp.). https://doi.org/10.1016/j.epsr.2024.110628
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Xu, W.; Svetozarevic, B.; Di Natale, L.; Heer, P.; Jones, C. N. Data-driven adaptive building thermal controller tuning with constraints: a primal–dual contextual Bayesian optimization approach. Appl. Energy 2024, 358, 122493 (13 pp.). https://doi.org/10.1016/j.apenergy.2023.122493
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Xu, W.; Jiang, Y.; Maddalena, E. T.; Jones, C. N. Lower bounds on the noiseless worst-case complexity of efficient global optimization. J. Optim. Theory Appl. 2024, 201, 583-608. https://doi.org/10.1007/s10957-024-02399-1
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Xu, W.; Jones, C. N.; Svetozarevic, B.; Laughman, C. R.; Chakrabarty, A. Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints. J. Process Control 2024, 138, 103212 (10 pp.). https://doi.org/10.1016/j.jprocont.2024.103212
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Yazdanie, M.; Frimpong, P. B.; Dramani, J. B.; Orehounig, K. Depreciating currency impacts on local-scale energy system planning: the case study of Accra, Ghana. Energy Strat. Rev. 2024, 53, 101362 (13 pp.). https://doi.org/10.1016/j.esr.2024.101362
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Yazdanie, M.; Frimpong, P. B.; Dramani, J. B.; Orehounig, K. The impacts of the informal economy, climate migration, and rising temperatures on energy system planning. Energy Rep. 2024, 11, 165-178. https://doi.org/10.1016/j.egyr.2023.11.041
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Yin, M.; Cai, H.; Gattiglio, A.; Khayatian, F.; Smith, R. S.; Heer, P. Data-driven predictive control for demand side management: theoretical and experimental results. Appl. Energy 2024, 353, 122101 (12 pp.). https://doi.org/10.1016/j.apenergy.2023.122101
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