智能能源系统的异构数据互联
Interlinking Heterogeneous Data for Smart Energy Systems
摘要：
智能能源系统，特别是太阳能分析，最近越来越受到关注。这主要是由于更加注重智能节能解决方案和光伏（PV）电池的最新发展。研究界正在提出各种数据驱动和机器学习框架。然而，这些框架执行它们的分析，并且是针对特定的、异构的和孤立的数据集设计的，这些数据集分布在不同的站点和来源中，使得很难比较结果并重现对类似数据的分析。我们提出了一种基于Web（W3C）标准和关联数据技术的方法，用于将PV和天气记录表示和转换为基于资源描述框架（RDF）图形的数据格式。这种格式和所提出的方法是数据集成场景的理想选择，在这种场景中，数据需要转换为同构形式，不同的数据集可以互连以进行分布式分析。
英文摘要：
Smart energy systems in general, and solar energy analysis in particular, have recently gained increasing interest. This is mainly due to stronger focus on smart energy saving solutions and recent developments in photovoltaic (PV) cells. Various data-driven and machine-learning frameworks are being proposed by the research community. However, these frameworks perform their analysis - and are designed on - specific, heterogeneous and isolated datasets, distributed across different sites and sources, making it hard to compare results and reproduce the analysis on similar data. We propose an approach based on Web (W3C) standards and Linked Data technologies for representing and converting PV and weather records into an Resource Description Framework (RDF) graph-based data format. This format, and the presented approach, is ideal in a data integration scenario where data needs to be converted into homogeneous form and different datasets could be interlinked for distributed analysis.
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