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Impact of forecast uncertainty and electricity markets on the flexibility provision and economic performance of highly-decarbonized multi-energy systems
Srinivasan, A., Wu, R., Heer, P., & Sansavini, G. (2023). Impact of forecast uncertainty and electricity markets on the flexibility provision and economic performance of highly-decarbonized multi-energy systems. Applied Energy, 338, 120825 (16 pp.). https://doi.org/10.1016/j.apenergy.2023.120825
Optimal investment and scheduling of residential multi-energy systems including electric mobility: a cost-effective approach to climate change mitigation
Mittelviefhaus, M., Pareschi, G., Allan, J., Georges, G., & Boulouchos, K. (2021). Optimal investment and scheduling of residential multi-energy systems including electric mobility: a cost-effective approach to climate change mitigation. Applied Energy, 301, 117445 (24 pp.). https://doi.org/10.1016/j.apenergy.2021.117445
Systematic consideration of parameter uncertainty and variability in probabilistic species sensitivity distributions
Wigger, H., Kawecki, D., Nowack, B., & Adam, V. (2020). Systematic consideration of parameter uncertainty and variability in probabilistic species sensitivity distributions. Integrated Environmental Assessment and Management, 16(2), 211-222. https://doi.org/10.1002/ieam.4214
The uncertainty with nanosafety: validity and reliability of published data
Krug, H. F. (2018). The uncertainty with nanosafety: validity and reliability of published data. Colloids and Surfaces B: Biointerfaces, 172, 113-117. https://doi.org/10.1016/j.colsurfb.2018.08.036
A review of uncertainty characterisation approaches for the optimal design of distributed energy systems
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). A review of uncertainty characterisation approaches for the optimal design of distributed energy systems. Renewable and Sustainable Energy Reviews, 88, 258-277. https://doi.org/10.1016/j.rser.2018.02.021
Comparison of alternative decision-making criteria in a two-stage stochastic program for the design of distributed energy systems under uncertainty
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). Comparison of alternative decision-making criteria in a two-stage stochastic program for the design of distributed energy systems under uncertainty. Energy, 156, 709-724. https://doi.org/10.1016/j.energy.2018.05.081
Design of distributed energy systems under uncertainty: a two-stage stochastic programming approach
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2018). Design of distributed energy systems under uncertainty: a two-stage stochastic programming approach. Applied Energy, 222, 932-950. https://doi.org/10.1016/j.apenergy.2018.04.019
Designing electrically self-sufficient distributed energy systems under energy demand and solar radiation uncertainty
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2017). Designing electrically self-sufficient distributed energy systems under energy demand and solar radiation uncertainty. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 1027-1032). https://doi.org/10.1016/j.egypro.2017.07.470
Trade-offs between risk-neutral and risk-averse decision making for the design of distributed energy systems under uncertainty
Mavromatidis, G., Orehounig, K., & Carmeliet, J. (2017). Trade-offs between risk-neutral and risk-averse decision making for the design of distributed energy systems under uncertainty. In Proceedings of ECOS 2017 - the 30th international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, July 2-July 6, 2017, San Diego, California, USA (p. (12 pp.). ECOS 2017.
Variability between domestic buildings: the impact on energy use
Evins, R., Orehounig, K., & Dorer, V. (2016). Variability between domestic buildings: the impact on energy use. Journal of Building Performance Simulation, 9(2), 162-175. https://doi.org/10.1080/19401493.2015.1006526
Uncertainty determination of in situ airborne sound insulation measurements
Machimbarrena, M., Rodrigues A. Monteiro, C., Pedersoli, S., Johansson, R., & Smith, S. (2015). Uncertainty determination of in situ airborne sound insulation measurements. Applied Acoustics, 89, 199-210. https://doi.org/10.1016/j.apacoust.2014.09.018
Risk preventative innovation strategies for emerging technologies the cases of nano-textiles and smart textiles
Köhler, A. R., & Som, C. (2014). Risk preventative innovation strategies for emerging technologies the cases of nano-textiles and smart textiles. Technovation, 34(8), 420-430. https://doi.org/10.1016/j.technovation.2013.07.002
Influence of uncertainty in heat–moisture transport properties on convective drying of porous materials by numerical modelling
Defraeye, T., Blocken, B., & Carmeliet, J. (2013). Influence of uncertainty in heat–moisture transport properties on convective drying of porous materials by numerical modelling. Chemical Engineering Research and Design, 91(1), 36-42. https://doi.org/10.1016/j.cherd.2012.06.011
Exploring the macroeconomic impacts of information and communication technologies on greenhouse gas emissions
Erdmann, L., & Hilty, L. M. (2010). Exploring the macroeconomic impacts of information and communication technologies on greenhouse gas emissions. Journal of Industrial Ecology, 14(5), 824-841. https://doi.org/10.1111/j.1530-9290.2010.00277.x
Probabilistic material flow modeling for assessing the environmental exposure to compounds: methodology and an application to engineered nano-TiO<SUB>2</SUB> particles
Gottschalk, F., Scholz, R. W., & Nowack, B. (2010). Probabilistic material flow modeling for assessing the environmental exposure to compounds: methodology and an application to engineered nano-TiO2 particles. Environmental Modelling and Software, 25(3), 320-332. https://doi.org/10.1016/j.envsoft.2009.08.011
Calibration of a speckle interferometry full-field strain measurement system
Whelan, M. P., Albrecht, D., Hack, E., & Patterson, E. A. (2008). Calibration of a speckle interferometry full-field strain measurement system. Strain, 44(2), 180-190. https://doi.org/10.1111/j.1475-1305.2007.00364.x
The uncertainty of weighing data obtained with electronic analytical balances
Reichmuth, A., Wunderli, S., Weber, M., & Meyer, V. R. (2004). The uncertainty of weighing data obtained with electronic analytical balances. Microchimica Acta, 148(3-4), 133-141. https://doi.org/10.1007/s00604-004-0278-3
The precautionary principle in the information society
Som, C., Hilty, L. M., & Ruddy, T. F. (2004). The precautionary principle in the information society. Human and Ecological Risk Assessment, 10(5), 787-799. https://doi.org/10.1080/10807030490513801
High precision titrimetry, ion chromatography and ICP-optical emission spectrometry for the estimation of inhomogeneities in aqueous calibration solutions for metrological purposes
Weber, M., Wüthrich, J., & Rezzonico, S. (2004). High precision titrimetry, ion chromatography and ICP-optical emission spectrometry for the estimation of inhomogeneities in aqueous calibration solutions for metrological purposes. Microchimica Acta, 146(2), 165-171. https://doi.org/10.1007/s00604-004-0196-4
Ion analysis at the highest stage - the metrological approach by national metrological institutes
Weber, M., & Felber, H. (2004). Ion analysis at the highest stage - the metrological approach by national metrological institutes. Microchimica Acta, 146(2), 91-95. https://doi.org/10.1007/s00604-004-0195-5