A semantic web approach to uplift decentralized household energy data. (December 2022)
- Record Type:
- Journal Article
- Title:
- A semantic web approach to uplift decentralized household energy data. (December 2022)
- Main Title:
- A semantic web approach to uplift decentralized household energy data
- Authors:
- Wu, Jiantao
Orlandi, Fabrizio
AlSkaif, Tarek
O'Sullivan, Declan
Dev, Soumyabrata - Abstract:
- 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 vulnerable to data input fluctuations when information omission is taken into account. This article tackles the data isolation issue in the field of smart energy systems by examining Semantic Web methods on top of a household energy system. We offer an ontology-based approach for managing decentralized data at the device-level resolution in a system. As a consequence, the scope of the data associated with each device may easily be expanded in an interoperable manner throughout the Web, and additional information, such as weather, can be obtained from the Web, provided that the data isAbstract: 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 vulnerable to data input fluctuations when information omission is taken into account. This article tackles the data isolation issue in the field of smart energy systems by examining Semantic Web methods on top of a household energy system. We offer an ontology-based approach for managing decentralized data at the device-level resolution in a system. As a consequence, the scope of the data associated with each device may easily be expanded in an interoperable manner throughout the Web, and additional information, such as weather, can be obtained from the Web, provided that the data is organized according to W3C standards. … (more)
- Is Part Of:
- Sustainable energy, grids and networks. Volume 32(2022)
- Journal:
- Sustainable energy, grids and networks
- Issue:
- Volume 32(2022)
- Issue Display:
- Volume 32, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 32
- Issue:
- 2022
- Issue Sort Value:
- 2022-0032-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Heterogeneous data -- Household energy systems -- Linked Data -- Ontology -- Semantics web -- Decentralized energy data
Renewable energy sources -- Periodicals
Smart power grids -- Periodicals
Electric power systems -- Periodicals
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23524677/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.segan.2022.100891 ↗
- Languages:
- English
- ISSNs:
- 2352-4677
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24620.xml