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- Publisher Website: 10.1016/j.adapen.2023.100132
- Scopus: eid_2-s2.0-85152258994
- WOS: WOS:001030688900001
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Article: Data sharing in energy systems
Title | Data sharing in energy systems |
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Authors | |
Keywords | Data market Data sharing Energy systems Privacy protection Right confirmation Smart grids |
Issue Date | 14-Apr-2023 |
Publisher | Elsevier |
Citation | Advances in Applied Energy, 2023, v. 10 How to Cite? |
Abstract | Big data has been advocated as a dominant driving force to unleash the great waves of the next-generation industrial revolution. While the ever-increasing proliferation of heterogeneous data contributes to a more sustainable energy system, considerable challenges remain for breaking down the barrier of data sharing across monopolistic sectors and fully exploiting data asset value in a trustworthy environment. Here, we focus on a global aspiration and interest regarding the challenges, techniques, and prospects of data sharing in energy systems. In this paper, a conceptual framework for data sharing is designed, in which we introduce the commodity attribute of data assets and explain the bottlenecks of data trading. Two critical issues, i.e., right confirmation and privacy protection, are then systematically reviewed, which provide a fundamental guarantee for credible data openness. A detailed data market is conceived by elaborating on market bids, data asset valuation and pricing strategy, and game-based clearing. Finally, we conduct a discussion about some low-hanging fruit of data sharing in energy systems. |
Persistent Identifier | http://hdl.handle.net/10722/339049 |
ISSN | 2023 Impact Factor: 13.0 2023 SCImago Journal Rankings: 3.788 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, JX | - |
dc.contributor.author | Gao, F | - |
dc.contributor.author | Zhou, YZ | - |
dc.contributor.author | Guo, QL | - |
dc.contributor.author | Tan, CW | - |
dc.contributor.author | Song, J | - |
dc.contributor.author | Wang, Y | - |
dc.date.accessioned | 2024-03-11T10:33:29Z | - |
dc.date.available | 2024-03-11T10:33:29Z | - |
dc.date.issued | 2023-04-14 | - |
dc.identifier.citation | Advances in Applied Energy, 2023, v. 10 | - |
dc.identifier.issn | 2666-7924 | - |
dc.identifier.uri | http://hdl.handle.net/10722/339049 | - |
dc.description.abstract | Big data has been advocated as a dominant driving force to unleash the great waves of the next-generation industrial revolution. While the ever-increasing proliferation of heterogeneous data contributes to a more sustainable energy system, considerable challenges remain for breaking down the barrier of data sharing across monopolistic sectors and fully exploiting data asset value in a trustworthy environment. Here, we focus on a global aspiration and interest regarding the challenges, techniques, and prospects of data sharing in energy systems. In this paper, a conceptual framework for data sharing is designed, in which we introduce the commodity attribute of data assets and explain the bottlenecks of data trading. Two critical issues, i.e., right confirmation and privacy protection, are then systematically reviewed, which provide a fundamental guarantee for credible data openness. A detailed data market is conceived by elaborating on market bids, data asset valuation and pricing strategy, and game-based clearing. Finally, we conduct a discussion about some low-hanging fruit of data sharing in energy systems. | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Advances in Applied Energy | - |
dc.subject | Data market | - |
dc.subject | Data sharing | - |
dc.subject | Energy systems | - |
dc.subject | Privacy protection | - |
dc.subject | Right confirmation | - |
dc.subject | Smart grids | - |
dc.title | Data sharing in energy systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.adapen.2023.100132 | - |
dc.identifier.scopus | eid_2-s2.0-85152258994 | - |
dc.identifier.volume | 10 | - |
dc.identifier.eissn | 2666-7924 | - |
dc.identifier.isi | WOS:001030688900001 | - |
dc.publisher.place | AMSTERDAM | - |
dc.identifier.issnl | 2666-7924 | - |