面向可查找、可访问、可互操作和可重用(FAIR)光伏系统时间序列数据

A. Nihar, A. Curran, A. M. Karimi, J. Braid, L. Bruckman, Mehmet Koyutürk, Yinghui Wu, R. French
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引用次数: 3

摘要

我们提出了公平原则光伏时间序列数据的应用,以增加其在光伏研究界的可重用性。“标准化”数据集的主要要求是具有明确定义的数据格式,并使人类和机器可以访问该数据集的所有元数据。为了实现一体化,我们实现了一个分离光伏数据及其元数据的数据模型。元数据及其描述使用JSON-LD以人类和机器可读的格式在数据存储库上注册。此外,还开发了安全api来访问光伏数据。这种方法具有长期的可伸缩性和可维护性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data
We present the application of FAIR principles to photovoltaic time series data to increase their reusability within the photovoltaic research community. The main requirements for a "FAIRified" dataset is to have a clearly defined data format, and to make accessible all metadata for this dataset to humans and machines. To achieve FAIRification, we implement a data model that separates the photovoltaic data and its metadata. The metadata and their descriptions are registered on a data repository in a human and machine readable format, using JSON-LD. Also, secure APIs are developed to access photovoltaic data. This approach has long term scalability and maintainability.
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