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A Visual Analytics Platform and Advanced Visualization Tools for Interpreting and Analyzing Wind Energy Time-Series Data

机译：用于解释和分析风能时间序列数据的视觉分析平台和高级可视化工具

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The Bonneville Power Administration (BPA) connects nearly 5,100 MW of wind energy to its transmission system through dozens of wind energy projects located in the states of Oregon and Washington. These wind energy projects are producing large amounts of real-time data that need to be efficiently monitored and analyzed by BPA operators in order to combine and balance this variable source of energy with other energy resources to meet energy demands. To support wind energy monitoring, operations, and integration, visual analytics researchers at the Pacific Northwest National Laboratory have developed a visual analytics platform that is able to connect to existing wind operations data sources, fuse and integrate wind energy data, and efficiently serve integrated wind energy data to advanced web-based visualization tools. In addition, the visual analytics team has also developed a set of advanced visualization tools that are available through the visual analytics platform to directly support wind energy operations and analysis needs.
机译：Bonneville Power Administration（BPA）通过位于俄勒冈州和华盛顿州的数十个风能项目，将近5,100兆瓦的风能连接到其传输系统。这些风能项目生产大量的实时数据，需要通过BPA运营商进行有效监测和分析，以便将这种可变能源与其他能源资源相结合，以满足能源需求的平衡。为了支持风能监测，运营和集成，太平洋西北国家实验室的视觉分析研究人员已经开发了一种可视化分析平台，能够连接到现有的风力运营数据源，保险丝和整合风能数据，有效地服务于综合风能源数据到高级基于Web的可视化工具。此外，Visual Analytics团队还开发了一套通过视觉分析平台可用的一组高级可视化工具，可直接支持风能运营和分析需求。

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