.png){kind=icon}
返回
GPU-OpenCL accelerated probabilistic power flow analysis using Monte-Carlo simulation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.epsr.2017.02.022.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper investigates the acceleration of Monte-Carlo (MC) based probabilistic power flow (PPF) analysis by exploiting the massively parallel architecture of graphics processing units (GPUs). (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
GPU
Monte-Carlo simulation
Probabilistic power flow
Renewable energy
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
机构
引用论文
Incorporating multiple correlations among wind speeds, photovoltaic powers and bus loads in composite system reliability evaluation.png)
APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏Graphics-Processing-Unit-Based Acceleration of Electromagnetic Transients Simulation基于图形处理单元的电磁瞬态加速仿真
OAAI
OAAI分享收藏
查看更多内容