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Scenario generation proves to be an effective approach for addressing uncertainties in stochastic programming for power systems with integrated renewable resources. In recent years, numerous studies have explored the application of deep generative models
Chenglong Xu +10 more
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This paper reviews scenario generation techniques for modeling uncertainty in wind and photovoltaic (PV) power generation, a critical component as renewable energy integration into power systems grows.
Kun Zheng +7 more
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A Multi-Year Scenario-Based Transmission Expansion Planning Model Incorporating Available Transfer Capability [PDF]
This paper presents a multi-year scenario-based methodology for transmission expansion planning (TEP) in order to enhance the available transfer capability (ATC).
Tohid Akbari, Saeed Zolfaghari Moghaddam
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Review on Functional Testing Scenario Library Generation for Connected and Automated Vehicles
The advancement of autonomous driving technology has had a significant impact on both transportation networks and people’s lives. Connected and automated vehicles as well as the surrounding driving environment are increasingly exchanging information. The
Yu Zhu +3 more
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Demand in a water distribution network (WDN) is an aleatory variable, owing to the unpredictable behaviors of water users. Therefore, it is one of the main reasons for uncertainty in the design of this infrastructure.
M. C. Cunha, R. Magini, J. Marques
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Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy systems.
Wenlong Liao +5 more
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Modelling Electric Vehicle Charge Demand: Implementation for the Greek Power System
The emerging popularity of Plug-in Electric Vehicles (PEVs) is creating new connections between the transportation and electric sectors, and PEV charging will bring new opportunities and challenges to a system of growing complexity.
Stavros G. Mitrakoudis +1 more
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Scenario Generation for Wind Power Using Improved Generative Adversarial Networks
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
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Applying Heuristics to Generate Test Cases for Automated Driving Safety Evaluation
Comprehensive safety evaluation methodologies for automated driving systems that account for the large complexity real traffic are currently being developed.
Leonard Stepien +6 more
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Modeling and Forecasting Electric Vehicle Consumption Profiles
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
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