| Design of distribution tariffs for energy hub networks to reduce carbon emissions
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| Distributed multi-horizon model predictive control for network of energy hubs
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| Equirectangular 360° image dataset for detecting reusable construction components
Bendiek Laranjo, A., Hunhevicz, J. J., Menzel, K., & Wolf, C. D. (2024). Equirectangular 360° image dataset for detecting reusable construction components. In M. Srećković, M. Kassem, R. Soman, & A. Chassiakos (Eds.), Computing in construction. Proceedings of the 2024 European conference on computing in construction (pp. 542-549). https://doi.org/10.35490/EC3.2024.266 |
| Dynamic grid emission factors and export limits reduce emission abatement and cost benefits of building PV systems
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| Exploring tokenized product passports for circular construction supply chains
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| Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision
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| Real-time coordination of integrated transmission and distribution systems: flexibility modeling and distributed NMPC scheduling
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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 |
| Stable linear subspace identification: a machine learning approach
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| 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 |
| Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies
Dramani, J. B., Ofori-Mensah, K. A., Otchere, N. O., Frimpong, P. B., Adu-Poku, A., Kemausuor, F., & Yazdanie, M. (2024). Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies. Heliyon, 10(16), e36001 (16 pp.). https://doi.org/10.1016/j.heliyon.2024.e36001 |
| Machine learning approaches for predictions of CO2 emissions in the building sector
Giannelos, S., Bellizio, F., Strbac, G., & Zhang, T. (2024). Machine learning approaches for predictions of CO2 emissions in the building sector. Electric Power Systems Research, 235, 110735 (6 pp.). https://doi.org/10.1016/j.epsr.2024.110735 |
| Comprehensive energy demand and usage data for building automation
Heer, P., Derungs, C., Huber, B., Bünning, F., Fricker, R., Stoller, S., & Niesen, B. (2024). Comprehensive energy demand and usage data for building automation. Scientific Data, 11, 469 (12 pp.). https://doi.org/10.1038/s41597-024-03292-2 |
| Cheaper smart contracts for the built environment? Linking on-chain and off-chain in a blockchain-governed approach
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| Decentralized project delivery on the crypto commons: conceptualization, governance mechanisms, and future research directions
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| Model predictive control in buildings with thermal and visual comfort constraints
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| An ontology-based meta-modelling approach for semantic-driven building management systems
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| Introducing price feedback of local flexibility markets into distribution network planning
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| 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
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