Browsing by Subject "Uncertainty quantification"

Browsing by Subject "Uncertainty quantification"

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  • CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis 
    Steinbrink, Cornelius; Blank-Babazadeh, Marita; El-Ama, André; Holly, Stefanie; Bengt, Lüers; Nebel-Wenner, Marvin; Ramírez Acosta, Rebeca P.; Raub, Thomas; Schwarz, Jan Sören; Stark, Sanja; Astrid, Nieße; Lehnhoff, Sebastian (Basel : MDPI, 2019)
    The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows ...
  • Distribution-free stochastic simulation methodology for model updating under hybrid uncertainties 
    Kitahara, Masaru (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022)
    In the real world, a significant challenge faced in the safe operation and maintenance of infrastructures is the lack of available information or data. This results in a large degree of uncertainty and the requirement for ...
  • Do we have enough data? Robust reliability via uncertainty quantification 
    Rocchetta, Roberto; Broggi, Matteo; Patelli, Edoardo (Amsterdam [u.a.] : Elsevier Science, 2018)
    A generalised probabilistic framework is proposed for reliability assessment and uncertainty quantification under a lack of data. The developed computational tool allows the effect of epistemic uncertainty to be quantified ...
  • Scaling Effects in Spatial Multi-Criteria Decision Aggregation in Integrated River Basin Management 
    Taha, Rania; Dietrich, Jörg; Dehnhardt, Alexandra; Hirschfeld, Jesko (Basel : MDPI, 2019)
    For river basin management plans (RBMPs), measures are aggregated from smaller spatial units (e.g., water bodies) to the catchment or basin scale. River basin management plans measures in integrated management are evaluated ...
  • Uncertainty modelling in power spectrum estimation of environmental processes 
    Behrendt, Marco (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022)
    For efficient reliability analysis of buildings and structures, robust load models are required in stochastic dynamics, which can be estimated in particular from environmental processes, such as earthquakes or wind loads. ...