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Showing 1 to 19 of 19 for “"scenario generation"”.
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Automated Scenario Generation System In A Simulation
Developing training scenarios that induce a trainee to utilize specific skills is one of the facets of simulation-based training that requires significant effort. Simulation-based training systems have become more complex in recent years. Because of this added complexity, the amount of effort …
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Problem-driven scenario generation for stochastic programs
… are modeled by continuous random vectors. Scenario generation is the construction of a finite discrete random vector to use within a stochastic program. Scenario generation can consist of the discretization of a parametric probabilistic model, or the direct construction of a discrete …
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Resiliency Oriented Scenario Generation Framework for Natural Gas Infrastructure
… impacts. Our work contributes to a framework for scenario-based resilience quantification of regional power systems under power-NG interdependencies. Specifically, we develop a scenario generation approach to model disruptions in the intra-regional transmission infrastructure as well as supply …
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Non-Line of Sight Test Scenario Generation for Connected Autonomous Vehicle
… This is termed as a non-line of sight (NLOS) scenario where the ego vehicle (system under test) is unable to detect an oncoming dynamic object due to obstacles or the geometry of the road. A large body of work now exist which proposes methods for extending the perception horizon of CAV’s using …
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Automated Scenario Generation Using Halton Sequences for the Verification of Autonomous Vehicle Behavior in Simulation
… in exhaustively testing the system in all scenarios it will encounter. Manual scenario creation is time consuming and does not guarantee scenario coverage. Pseudo-random scenario generation is a faster option, but still does not ensure coverage of the state space. Therefore, this study …
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A scenario-based technique to analyze UML design class models
… class model is analyzed against a given set of scenarios that describe desired or undesired behaviors. The technique can leverage existing class model analysis tools such as USE and OCLE. The analysis technique is lightweight in that it analyzes functionality specified in a UML design class …
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Cyber-security Risk Assessment
… automatically generate the cyber-security risk scenarios by: * Capturing diverse and dispersed cyber-security knowledge * Assuming that there are unknowns in the cyber-security domain, and new knowledge is available frequently * Emulating the attacker's exploratory nature, thought process, …
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Including costs of supply chain risk in strategic sourcing decisions
… was developed using Monte Carlo simulation for scenario generation and Value-at-Risk methodology from finance theory for developing the risk-cost relationship. The model was tested using multiple scenarios which were generated by varying the risk profiles of suppliers. The results indicate that …
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A scenario generator for public policy and program implementation
… The resulting theory leaves a gap with practice. Scenario writing is one of the techniques available to practitioners that might be employed to assist in the execution of their responsibilities. Scenarios can be useful tools, but their preparation is costly and time consuming. It was hypothesized …
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Temporally Feathered Radiation Therapy under Uncertainty
… be computationally demanding as the number of scenarios increases, we introduce scenario generation techniques based on Wasserstein and fused Gromov-Wasserstein distances to approximate complex stochastic processes effectively. To solve the resulting models, we design block coordinate descent …
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Scenario modeling for feasibility assessment of nuclear power plant construction projects
… the last new reactor was brought online in 1996. Scenario generation can provide useful information about the economic viability of nuclear construction projects over a variety of parameter spaces without having to make prescriptive assertions about likely single values for delay and other …
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Application of hierarchy to STPA : a human factors study on vehicle automation
… includes the human factors extension and basic scenario generation to supplement the refinement process. To perform this analysis, an SAE Level 2 feature intended for highway traffic assist, proposed by Zenuity, is evaluated at three levels of detail--focusing on the driver-feature interface. …
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Rapid supply chain strategy simulation development for enhanced cross-functional collaboration in high growth environments
… and business drivers, and enable rapid 'what-if scenario generation and comparison. After identifying user needs regarding both simulation capabilities and simulator content, two proof-of-concept simulations were developed from critical cross-functional business questions posed by a wide array of …
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Scenario-Based Development and Verification of Domain-Specific Languages
… discusses the use and importance of DSLs for scenario generation for a domain and presents an extension to the Aviation Scenario Definition Language (ASDL). The main contribution of this dissertation is a novel framework for scenario based development of DSLs, called the Domain-Specific …
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Practical Optimisation of District Energy Systems: Representation of Technology Characteristics, Demand Uncertainty, and System Robustness
… using historical demand data. These steps are scenario generation, scenario reduction, and scenario optimisation. Using out-of-sample tests, robustness of optimal investments to unmet demand is quantified. Furthermore, system resilience to unexpected events is explored by introducing …
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Towards Energy-Efficient Cloud Datacentres: A Unified Framework for Generative and Multi-Scale Time Series Forecasting
… enabling efficient deployment in real-time scenarios and supporting additional tasks such as short-term forecasting and anomaly detection. Extensive experiments conducted on real-world Google and Alibaba datasets, as well as standard time-series benchmarks, demonstrate that the proposed …
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INVESTIGATION INTO GAME-BASED CRISIS SCENARIO MODELLING AND SIMULATION SYSTEM
… of crisis models tailoring into crisis scenario can become a cost-effective substitution to this study and training. Although, there are several existing computational toolsets to simulate crisis, there is no system providing a generic functionality to define crisis scenario, simulation …
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Novel Approaches for Some Stochastic and Deterministic Scheduling Problems
… a linear objective function. We develop a scenario-based mixed integer programming formulation to minimize CVaR for the general scheduling problem involving various performance measures, and employ a decomposition-based approach for its solution. Furthermore, a set of valid inequalities are …