Results 11 to 20 of about 1,153,859 (153)
Applying Heuristics to Generate Test Cases for Automated Driving Safety Evaluation
Applied Sciences, 2021 Comprehensive safety evaluation methodologies for automated driving systems that account for the large complexity real traffic are currently being developed.
Leonard Stepien +6 more
doaj +1 more source
Dynamic generation of scenario trees [PDF]
Computational Optimization and Applications, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pflug, G., Pichler, A.
openaire +2 more sources
Energies, 2023 Scenario generation has attracted wide attention in recent years owing to the high penetration of uncertainty sources in modern power systems and the introduction of stochastic optimization for handling decision-making problems.
Markos A. Kousounadis-Knousen +4 more
doaj +1 more source
Hurricane Scenario Generation for Uncertainty Modeling of Coastal and Inland Flooding
Frontiers in Climate, 2021 Hurricanes often induce catastrophic flooding due to both storm surge near the coast, and pluvial and fluvial flooding further inland. In an effort to contribute to uncertainty quantification of impending flood events, we propose a probabilistic scenario
Kyoung Yoon Kim +4 more
doaj +1 more source
Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume
Applied Sciences, 2021 This article presents the experience of building a simulation scenario of the whole city of Duisburg using real traffic data. The establishment of the simulation scenario is based on road network and traffic volume.
Xiaoyi Ma +3 more
doaj +1 more source
Scenario Generation for Wind Power Using Improved Generative Adversarial Networks
IEEE Access, 2018 Wind power scenarios have a significant impact on stochastic optimization problems for power systems in which wind power is a significant component.
Congmei Jiang +4 more
doaj +1 more source
Problem-driven scenario generation: an analytical approach for stochastic programs with tail risk measure [PDF]
, 2019 Scenario generation is the construction of a discrete random vector to represent parameters of uncertain values in a stochastic program. Most approaches to scenario generation are distribution-driven, that is, they attempt to construct a random vector ...
Fairbrother, Jamie +2 more
core +2 more sources
Modeling and Forecasting Electric Vehicle Consumption Profiles
Energies, 2019 The growing number of electric vehicles (EV) is challenging the traditional distribution grid with a new set of consumption curves. We employ information from individual meters at charging stations that record the power drawn by an EV at high temporal ...
Alexis Gerossier +2 more
doaj +1 more source
Bayesian renewables scenario generation via deep generative networks [PDF]
2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018 Paper accepted to Annual Conference on Information Sciences and Systems (CISS)
Chen, Yize, Li, Pan, Zhang, Baosen
openaire +2 more sources
HMM based scenario generation for an investment optimisation problem [PDF]
, 2011 This is the post-print version of the article. The official published version can be accessed from the link below - Copyright @ 2012 Springer-Verlag.The Geometric Brownian motion (GBM) is a standard method for modelling financial time series.
A. Geyer +28 more
core +1 more source