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arXiv 2108.01504cs.DB
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分散式家庭能源系统的本体建模

Ontology Modeling for Decentralized Household Energy Systems

Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, Soumyabrata Dev

摘要:

在由洗衣机、热泵、太阳能电池板等各种设备组成的分散式家庭能源系统中,了解设备粒度的电能消耗和生产数据,有助于终端用户更接近系统,进一步实现能源使用的可持续性。然而,这一领域的许多数据集与其他领域隔离,只记录与能源相关的数据。这可能导致与每个设备的能量使用相关的信息(例如天气)丢失。一个明显的缺点是,这些数据集中的许多数据集必须用于计算建模方法,如机器学习模型,这些模型容易受到数据馈送的影响,以促进对能源消耗和生产的理解。虽然这样的计算方法已经取得了很高的基准,仅仅通过一个本地的数据集的视图,不能坚定地保证可重用性时,考虑到信息遗漏。本文探讨了智能能源系统领域的数据隔离问题,探索语义Web技术的家庭能源系统。我们提出了一个本体建模解决方案,在系统中的设备的分辨率分散的数据的管理。结果,如果通过本体来构造数据,则可以容易地将关于每个设备的数据的范围扩展到跨web的更宽范围,并且可以从Web检索更多可能感兴趣的信息,诸如天气。

英文摘要:

In a decentralized household energy system consisting of various devices such as washing machines, heat pumps, and solar panels, understanding the electric energy consumption and production data at the granularity of the device helps end-users be closer to the system and further achieve the sustainability of energy use. However, many datasets in this area are isolated from other domains with records of only energy-related data. This may raise a loss of information (e.g. weather) that is relevant to the energy use of each device. A noticeable disadvantage is that many of those datasets have to be used in computational modeling approaches such as machine learning models, which are vulnerable to the data feed, to advance the understanding of energy consumption and production. Although such computational methods have achieved a high benchmark merely through a local view of datasets, the reusability cannot be firmly guaranteed when the information omission is taken into account. This paper addresses the data isolation problem in the smart energy systems area by exploring Semantic Web techniques on top of a household energy system. We propose an ontology modeling solution for the management of decentralized data at the resolution of a device in the system. As a result, the scope of the data concerning each device can be easily extended to be wider across the web and more information that may be of interest such as weather can be retrieved from the Web if the data are structured by the ontology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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