课题基金 / 基金详情

New Methods for Visualization of Large-Scale Power Systems Data

New Methods for Visualization of Large-Scale Power Systems Data
大规模电力系统数据可视化的新方法
批准号：
9812960
负责人：
Robert Thomas
金额：
$4.0万
依托单位：
Cornell University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1998
资助国家：
美国
项目状态：
已结题
起止时间：
1998-08-15 至 2001-01-31
来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9812960&HistoricalAwards=false
关键词：
NewMethodsVisualizationLargeScale

项目摘要

项目成果

Robert Thomas的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
ABSTRACT EEC-9812960 Thomas/Cornell Univ. This is an Exploratory Research Project to augment the Industry/University Cooperative Research Center for Power Systems EngineeringThis joint project will to develop innovative methods for visualizing the data associated with network flows in the electric power field. Visualization and animation capabilities of computers will be used to help users of the transmission system see important data and trends. The objective is to create and develop a prototype based on the new ATC (Available Transfer Capability) calculations proposed by the North American Electric Reliability Council. This should result in more efficient utilization of large-scale power distribution.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Elements: FaaSr: Enabling Cloud-native Event-driven Function-as-a-Service Computing Workflows in R
Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research)
NEON RCN: The Ecological Forecasting Initiative RCN: Using NEON-enabled near-term forecasting to synthesize our understanding of predictability across ecological systems and scales
Developing Efficient Models to Define Economic and Low Risk High Value Manufacture of Cell Based Products
  • 批准号：
    EP/R031649/1
  • 项目类别：
    Research Grant
  • 资助金额：
    $51.76万
  • 财政年份：
    2018
  • 负责人：
    Robert Thomas
  • 依托单位：
    Loughborough University
国内基金
海外基金
Computational Methods for Analyzing Toponome Data