A semantic web approach to uplift decentralized household energy data
Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, and, Soumyabrata Dev

TL;DR
This paper proposes a semantic web and ontology-based approach to integrate and expand decentralized household energy data at device-level resolution, enhancing interoperability and contextual information access.
Contribution
It introduces an ontology-driven method to manage decentralized energy data, enabling seamless data expansion and integration with external information sources like weather data.
Findings
Ontology-based data management improves data interoperability.
Web-organized data allows easy integration of external information.
Enhanced data context supports more reliable energy modeling.
Abstract
In a decentralized household energy system comprised of various devices such as home appliances, electric vehicles, and solar panels, end-users are able to dig deeper into the system's details and further achieve energy sustainability if they are presented with data on the electric energy consumption and production at the granularity of the device. However, many databases in this field are siloed from other domains, including solely information pertaining to energy. This may result in the loss of information (e.g. weather) on each device's energy use. Meanwhile, a large number of these datasets have been extensively used in computational modeling techniques such as machine learning models. While such computational approaches achieve great accuracy and performance by concentrating only on a local view of datasets, model reliability cannot be guaranteed since such models are very…
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Taxonomy
TopicsData Quality and Management · Cloud Computing and Resource Management · Service-Oriented Architecture and Web Services
