Results 41 to 50 of about 1,153,859 (153)

Medium- and Long-Term Optimal Stochastic Scheduling for Inter-Basin Hydro-Wind-Photovoltaic Complementary Systems Considering Wind and Solar Output Uncertainty

IEEE Open Access Journal of Power and Energy
With the large-scale integration of wind power and photovoltaic (PV) into the grid, dealing with their output uncertainties and formulating more reliable scheduling strategies has become a critical challenge for the efficient operation of hydropower ...
Chengrui Du, Yuan Gao, Lili Wang, Xiang Li, Yichen Cui, Jian Gao   +5 more
doaj   +1 more source

Fault Injection with Multiple Fault Patterns for Experimental Evaluation of Demand-Controlled Ventilation and Heating Systems

Sensors, 2022
Heating, ventilation, and air-conditioning (HVAC) systems are large-scale distributed systems that can be subject to multiple faults affecting the electronics, sensors, and actuators, potentially causing high energy consumption, occupant discomfort ...
Bahareh Kiamanesh, Ali Behravan, Roman Obermaisser   +2 more
doaj   +1 more source

Study of new rare event simulation schemes and their application to extreme scenario generation [PDF]

, 2018
This is a companion paper based on our previous work on rare event simulation methods. In this paper, we provide an alternative proof for the ergodicity of shaking transformation in the Gaussian case and propose two variants of the existing methods ...
Agarwal, Ankush, De Marco, Stefano, Gobet, Emmanuel, Liu, Gang   +3 more
core   +1 more source

Performance evaluation of photovoltaic scenario generation

Frontiers in Physics
Photovoltaic scenario generation plays a critical role in power systems characterized by high diversity and fluctuation. Despite recent theoretical advancements, effectively evaluating the performance of photovoltaic scenario generation remains a ...
Siyu Ren, Tongxin Yang, Jun Luo, Gang Wu, Gang Wu, Kai Mao, Bowen Liu   +6 more
doaj   +1 more source

On the Added Value of State-of-the-Art Probabilistic Forecasting Methods Applied to the Optimal Scheduling of a PV Power Plant with Batteries

Energies, 2023
Efforts have been made to develop methods to quantify the uncertainty related to the power production of renewable energy power plants, allowing producers to ensure more reliable engagements related to their future power delivery.
Rafael Alvarenga, Hubert Herbaux, Laurent Linguet   +2 more
doaj   +1 more source

Scenic: A Language for Scenario Specification and Scene Generation

, 2019
We propose a new probabilistic programming language for the design and analysis of perception systems, especially those based on machine learning. Specifically, we consider the problems of training a perception system to handle rare events, testing its ...
Dosovitskiy Alexey, Fremont Daniel J., Gupta Ankush, Jiang Chenfanfu, Kulkarni Tejas, Liebelt Joerg, Milch Brian, Naveh Yehuda, Nori Aditya V, Ritchie Daniel, Ros Germán, Russell Stuart, Saheb-Djahromi Nasser, Sutton Michael, Wood Frank, Wu Bichen   +15 more
core   +1 more source

Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion

, 2023
Automated creation of synthetic traffic scenarios is a key part of validating the safety of autonomous vehicles (AVs). In this paper, we propose Scenario Diffusion, a novel diffusion-based architecture for generating traffic scenarios that enables controllable scenario generation.
Pronovost, Ethan, Ganesina, Meghana Reddy, Hendy, Noureldin, Wang, Zeyu, Morales, Andres, Wang, Kai, Roy, Nicholas   +6 more
openaire   +2 more sources

Automatic Generation System for Autonomous Driving Simulation Scenarios Based on PreScan

Applied Sciences
The advancement of autonomous driving technology has urgently necessitated enhanced safety testing measures. Traditional road testing methods face significant challenges due to their high costs and prolonged durations.
Liling Cao, Xinxin Feng, Junli Liu, Guofeng Zhou   +3 more
doaj   +1 more source

Problem-Driven Scenario Generation for Stochastic Programming Problems: A Survey

Algorithms, 2023
Stochastic Programming is a powerful framework that addresses decision-making under uncertainties, which is a frequent occurrence in real-world problems.
Xiaochen Chou, Enza Messina
doaj   +1 more source

Tracing the Scenarios in Scenario-Based Product Design: a study to support scenario generation [PDF]

, 2007
Scenario-based design originates from the human-computer interaction and\ud software engineering disciplines, and continues to be adapted for product development.
Anggreeni, I., Voort, M.C. van der
core   +1 more source