Publications 2024
Adu-Poku, A.; Siabi, E. K.; Otchere, N. O.; Effah, F. B.; Awafo, E. A.; Kemausuor, F.; Yazdanie, M. Impact of drought on hydropower generation in the Volta River basin and future projections under different climate and development pathways. Energy Clim. Chang. 2024, 5, 100169 (13 pp.). https://doi.org/10.1016/j.egycc.2024.100169
Allan, J.; Munoz, E.; Acero González, S.; Bazazzadeh, H.; Bellizio, F.; Cai, H.; Fricker, R.; Heer, P.; Montazeri, M.; Stoller, S.; et al. A hierarchical knowledge framework for digital twins of buildings and their energy systems (position paper). In Advanced information systems engineering workshops. CAiSE 2024 international workshops, presented at the Advanced information systems engineering workshops. CAiSE 2024 international workshops, Limassol, June 3–7, 2024; Almeida, J. P. A., Di Ciccio, C., Kalloniatis, C., Eds.; Lecture notes in business information processing; Springer: Cham, 2024; Vol. 521, pp 53-58. https://doi.org/10.1007/978-3-031-61003-5_5
Allan, J.; Derboni, M.; Acero González, S.; Mangili, F.; Marchiori, E.; Marquant, J.; Munoz, E.; Rizzoli, A. The potential of linked data and semantic technologies in data platforms for urban energy planning. In ComForEn 2024. 13. Symposium communications for energy systems, presented at the ComForEn 2024. 13. Symposium communications for energy systems, Vienna, September 05-06, 2024; Kupzog, F., Ed.; OVE-Schriftenreihe; Österreichischer Verband für Elektrotechnik: Vienna, 2024; Vol. 113, pp 83-89.
Assareh, E.; Hoseinzadeh, S.; Karami, A.; Bazazzadeh, H.; Groppi, D.; Garcia, D. A. The performance analysis of a compressed air energy storage (CAES) for peak moving with cooling, heating, and power production. Case Stud. Therm. Eng. 2024, 64, 105448 (29 pp.). https://doi.org/10.1016/j.csite.2024.105448
Behrunani, V.; Bellizio, F.; Heer, P.; Lygeros, J. Design of distribution tariffs for energy hub networks to reduce carbon emissions. In 2024 European Control Conference (ECC), presented at the 2024 European Control Conference (ECC), Stockholm, June 25-28, 2024; IEEE, 2024; pp 1534-1539. https://doi.org/10.23919/ECC64448.2024.10591316
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
Behrunani, V. N.; Heer, P.; Smith, R. S.; Lygeros, J. Recursive feasibility guarantees in multi-horizon MPC. In 2024 IEEE 63rd conference on decision and control (CDC 2024), presented at the 63rd IEEE conference on decision and control (CDC 2024), Milan, December 16-19, 2024; Proceedings of the IEEE conference on decision and control; Institute of Electrical and Electronics Engineers (IEEE): Piscataway, 2024; pp 297-302. https://doi.org/10.1109/CDC56724.2024.10886145
Bellizio, F.; Heer, P. Optimal V2X operation of EV fleets with PV-battery charging station for demand-side flexibility provision. In Proceedings of GSM 2024, presented at the Proceedings of GSM 2024 7th grid service market symposium, Lucerne, July 1-2, 2024; Bošnjak, D., Kudela, T., Kockar, I., Imboden, C., Moser, M., Nucci, C. A., Ziegler, S., Hatziargyriou, N., Schwark, B., Svendstrup-Bjerre, A., Eds.; Hochschule Luzern; European Fuel Cell Forum AG: Luzern, 2024; p G0311 (12 pp.). https://www.doi.org/10.5281/zenodo.15023007
Bendiek Laranjo, A.; Hunhevicz, J. J.; Menzel, K.; Wolf, C. D. Equirectangular 360° image dataset for detecting reusable construction components. In Proceedings of the 2024 European conference on computing in construction, presented at the 2024 European conference on computing in construction, Chania, Crete, July 15-17, 2024; Srećković, M., Kassem, M., Soman, R., Chassiakos, A., Eds.; Computing in construction; European Council on Computing in Construction: sine loco, 2024; pp 542-549. https://doi.org/10.35490/EC3.2024.266
Brodnicke, L.; Ganter, A.; Tröber, S.; Sansavini, G.; Vulic, N. Dynamic grid emission factors and export limits reduce emission abatement and cost benefits of building PV systems. Energy Build. 2024, 323, 114772 (15 pp.). https://doi.org/10.1016/j.enbuild.2024.114772
Bucher, D. F.; Hunhevicz, J. J.; Soman, R. K.; Pauwels, P.; Hall, D. M. From BIM to Web3: a critical interpretive synthesis of present and emerging data management approaches in construction informatics. Adv. Eng. Inform. 2024, 62, 102884 (18 pp.). https://doi.org/10.1016/j.aei.2024.102884
Byers, B. S.; Hunhevicz, J. J.; Honic, M.; Wolf, C. D. Exploring tokenized product passports for circular construction supply chains. In Proceedings of the 2024 European conference on computing in construction, presented at the 2024 European conference on computing in construction, Chania, Crete, July 15-17, 2024; Srećković, M., Kassem, M., Soman, R., Chassiakos, A., Eds.; Computing in construction; European Council on Computing in Construction: sine loco, 2024; pp 34-41. https://doi.org/10.35490/EC3.2024.265
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
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
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
Di Natale, L.; Zakwan, M.; Svetozarevic, B.; Heer, P.; Ferrari-Trecate, G.; Jones, C. N. Stable linear subspace identification: a machine learning approach. In 2024 European Control Conference (ECC), presented at the 2024 European Control Conference (ECC), Stockholm, June 25-28, 2024; IEEE, 2024; pp 3539-3544. https://doi.org/10.23919/ECC64448.2024.10590843
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
Dramani, J. B.; Ofori-Mensah, K. A.; Otchere, N. O.; Frimpong, P. B.; Adu-Poku, A.; Kemausuor, F.; Yazdanie, M. Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies. Heliyon 2024, 10 (16), e36001 (16 pp.). https://doi.org/10.1016/j.heliyon.2024.e36001
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
Hall, D. M.; Bonanomi, M. M. M.; Hunhevicz, J. The construction commons. A new institutional economics perspective on collaborative project resources. In Routledge handbook of collaboration in construction; Moradi, S., Kähkönen, K., Koskela, L., Klakegg, O. J., Aaltonen, K., Eds.; Routledge: London, 2024; pp 49-60. https://doi.org/10.1201/9781003379553-7
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
Humbert, G.; Cai, H.; Prasad Koirala, B.; Heer, P. Relief of the power grid through cost-effective hydrogen generation. In Proceedings of GSM 2024, presented at the 7th European grid service market symposium, Lucerne, July 1-2, 2024; Bošnjak, D., Kudela, T., Kockar, I., Imboden, C., Moser, M., Nucci, C. A., Ziegler, S., Hatziargyriou, N., Schwark, B., Svendstrup-Bjerre, A., Eds.; Hochschule Luzern; European Fuel Cell Forum AG: Luzern, 2024; p G0312 (10 pp.). https://www.doi.org/10.5281/zenodo.15023007
Hunhevicz, J. J.; Bucher, D. F.; Hong, K.; Hall, D. M.; Wolf, C. D. Cheaper smart contracts for the built environment? Linking on-chain and off-chain in a blockchain-governed approach. In Proceedings of the 2024 European conference on computing in construction, presented at the 2024 European conference on computing in construction, Chania, Crete, July 15-17, 2024; Srećković, M., Kassem, M., Soman, R., Chassiakos, A., Eds.; Computing in construction; European Council on Computing in Construction: sine loco, 2024; pp 42-49. https://doi.org/10.35490/EC3.2024.269
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
Jacquet, C.; Cai, H.; Srinivasan, A.; Chatterjee, A.; Sansavini, G.; Heer, P. The reliability of demand-side power flexibility provision - an analytical framework. In International Conference on System Reliability and Safety, presented at the 8th international conference on system reliability and safety, ICSRS 2024, Sicily, November 20-22, 2024; 8th international conference on system reliability and safety, ICSRS 2024; Institute of Electrical and Electronics Engineers: Piscataway, 2024; pp 67-74. https://doi.org/10.1109/ICSRS63046.2024.10927578
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
Koirala, B.; Cai, H.; Khayatian, F.; Munoz, E.; An, J. G.; Mutschler, R.; Sulzer, M.; De Wolf, C.; Orehounig, K. Digitalization of urban multi-energy systems – Advances in digital twin applications across life-cycle phases. Adv. Appl. Energy 2024, 16, 100196 (22 pp.). https://doi.org/10.1016/j.adapen.2024.100196
Laurenzi, E.; Allan, J.; Campos, N.; Stoller, S. An ontology-based meta-modelling approach for semantic-driven building management systems. In Advanced information systems engineering workshops. CAiSE 2024 international workshops, presented at the Advanced information systems engineering workshops. CAiSE 2024 international workshops, Limassol, June 3–7, 2024; Almeida, J. P. A., Di Ciccio, C., Kalloniatis, C., Eds.; Lecture notes in business information processing; Springer: Cham, 2024; Vol. 521, pp 200-211. https://doi.org/10.1007/978-3-031-61003-5_18
Lerbinger, A.; Powell, S.; Mavromatidis, G. MANGOever: an optimization framework for the long-term planning and operations of integrated electric vehicle and building energy systems. Adv. Appl. Energy 2024, 16, 100193 (18 pp.). https://doi.org/10.1016/j.adapen.2024.100193
Lustenberger, M.; Bellizio, F.; Cai, H.; Heer, P.; Ziras, C. Introducing price feedback of local flexibility markets into distribution network planning. Electr. Power Syst. Res. 2024, 236, 110686 (7 pp.). https://doi.org/10.1016/j.epsr.2024.110686
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
Montazeri, M.; Kebriaei, H.; Araabi, B. N. A tractable truthful profit maximization mechanism design with autonomous agents. IEEE Trans. Automat. Contr. 2024, 69 (8), 5439-5445. https://doi.org/10.1109/TAC.2024.3360335
Montazeri, M.; Castiglioni, M.; Romano, G.; Kebriaei, H.; Gatti, N. Maximizing revenue from selfish agents in crowd tasks: indirect incentive strategies. IEEE Control Syst. Lett. 2024, 8, 2295-2300. https://doi.org/10.1109/LCSYS.2024.3412651
Parvizi, S.; Montazeri, M.; Kebriaei, H. Resource sharing with autonomous agents in cloud-edge computing networks via mechanism design. In 2024 IEEE 63rd conference on decision and control (CDC), presented at the 2024 IEEE 63rd conference on decision and control (CDC), Milan, December 16-19, 2024; IEEE, 2024; pp 3063-3068. https://doi.org/10.1109/CDC56724.2024.10886154
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
Segundo Sevilla, F. R.; Liu, Y.; Korba, P.; Zamora, A.; Dotta, D.; Bellizio, F.; Chavez, H.; Jóhannsson, H.; Cepeda, J.; Cremer, J.; et al. Spatio-temporal data-driven and machine learning based applications for transmission systems. In 2024 IEEE power & energy society ceneral meeting (PESGM), presented at the 2024 IEEE power & energy society ceneral meeting (PESGM), Seattle, July 21-25, 2024; IEEE, 2024; p (5 pp.). https://doi.org/10.1109/PESGM51994.2024.10688546
Siabi, E. K.; Awafo, E. A.; Kabobah, A. T.; Derkyi, N. S. A.; Akpoti, K.; Anornu, G. K.; Yazdanie, M. Quantifying future climate extreme indices: implications for sustainable urban development in West Africa, with a focus on the greater Accra region. Discov. Sustain. 2024, 5, 167 (39 pp.). https://doi.org/10.1007/s43621-024-00352-w
Tagliabue, L. C.; Rinaldi, S.; Hunhevicz, J. J.; Melchiori, M.; Hall, D.; Cairoli, M.; Ciribini, A. L. C. Automated tracking, inspection and commissioning of wall panels using an IoT-blockchain solution: the case of ETICS. In Proceedings of the 2024 European conference on computing in construction, presented at the 2024 European conference on computing in construction, Chania, Crete, July 15-17, 2024; Srećković, M., Kassem, M., Soman, R., Chassiakos, A., Eds.; Computing in construction; European Council on Computing in Construction: sine loco, 2024; pp 66-73. https://doi.org/10.35490/EC3.2024.314
Tajoli, C.; Heer, P.; Hug, G. Quantification of the flexibility enhancement with micro-scale multi-energy coupling. In Proceedings of 2024 IEEE PES innovative smart grid technologies Europe conference (ISGT EUROPE 2024), presented at the Proceedings of 2024 IEEE PES innovative smart grid technologies Europe conference (ISGT EUROPE 2024), Dubrovnik, October 14-17, 2024; Holjevac, N., Baskarad, T., Zidar, M., Kuzle, I., Eds.; IEEE PES innovative smart grid technologies Europe; IEEE, 2024. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863634
Vulic, N.; Chen, Y. C.; Nappi, G.; Li, Q.; Sulzer, M.; Mavromatidis, G. Towards net zero pathways for building stock portfolios based on key performance indicators. In International conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, presented at the 37th international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, ECOS 2024, Rhodes, June 30 - July 5, 2024; 37th international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, ECOS 2024; ECOS 2024, 2024; Vol. 1, pp 711-718. https://doi.org/10.52202/077185-0061
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
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
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
Xu, W.; Adachi, M.; Jones, C. N.; Osborne, M. A. Principled Bayesian optimisation in collaboration with human experts. In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), presented at the 37th conference on neural information processing systems (NeurIPS 2024), Vancouver, December 9-15, 2024; Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C., Eds.; Advances in Neural Information Processing Systems; Neural information processing systems foundation: San Diego CA, 2024; Vol. 37, p (47 pp.). https://proceedings.neurips.cc/paper_files/paper/2024/hash/bc82dbfbfa43232be85b8d9838f49c3e-Abstract-Conference.html
Xu, W.; Wang, W.; Jiang, Y.; Svetozarevic, B.; Jones, C. Principled preferential Bayesian optimization. In Proceedings of the 41st international conference on machine learning, presented at the Proceedings of the 41st international conference on machine learning, Vienna, July 21-27, 2024; Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J., Berkenkamp, F., Eds.; Proceedings of machine learning research; ML Research Press, 2024; Vol. 235, p PMLR 235 (32 pp.).
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
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
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
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. In Proceedings of GSM 2024, presented at the Proceedings of GSM 2024 7th grid service market symposium, Lucerne, July 1-2, 2024; Bošnjak, D., Kudela, T., Kockar, I., Imboden, C., Moser, M., Nucci, C. A., Ziegler, S., Hatziargyriou, N., Schwark, B., Svendstrup-Bjerre, A., Eds.; Hochschule Luzern; European Fuel Cell Forum AG: Luzern, 2024; p G0802 (7 pp.). https://www.doi.org/10.5281/zenodo.15023007
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
Zhang, X.; Walch, A.; Rüdisüli, M.; Bauer, C.; Burgherr, P.; McKenna, R.; Habert, G. Evaluating the levelized costs and life cycle greenhouse gas emissions of electricity generation from rooftop solar photovoltaics: a Swiss case study. Environ. Res.-Infrastruct. Sustain. 2024, 4 (4), 045002 (27 pp.). https://doi.org/10.1088/2634-4505/ad80c3