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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, Y | - |
| dc.contributor.author | Zhao, C | - |
| dc.contributor.author | Meng, Z | - |
| dc.contributor.author | Lai, CS | - |
| dc.contributor.author | Chen, X | - |
| dc.date.accessioned | 2025-12-26T15:10:54Z | - |
| dc.date.available | 2025-12-26T15:10:54Z | - |
| dc.date.issued | 2025-11-21 | - |
| dc.identifier | ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 | - |
| dc.identifier | ORCiD: Xi Chen https://orcid.org/0000-0002-3135-4114 | - |
| dc.identifier.citation | Zhang, Y. et al. (2025) 'An ethical assessment framework for AI security and ethics in smart grid', Global Energy Interconnection, 0 (in press, corrected proof), pp. 1 - 17. doi: 10.1016/j.gloei.2025.10.006. | en_US |
| dc.identifier.issn | 2096-5117 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/32566 | - |
| dc.description.abstract | The advancement of smart grid, facilitated by the extensive integration of information communication, automated control, and artificial intelligence (AI) technologies, signifies a significant transformation of the power system towards holistic perception, intelligent management, and secure operation. This article focuses on the security and ethical compliance of smart grid, intending to offer guiding insights for this new technological domain. This study initially delineates the potential applications, technical attributes, and design of smart grid, followed by a thorough examination of the security threats and ethical dilemmas arising from technological advancements. This study examines the pivotal role of AI in smart grid and its intricate interplay with security and ethical concerns. It performs a comprehensive analysis of the possible technical deficiencies and ethical challenges of AI systems in smart grid and assesses the extensive repercussions that these difficulties may entail. This study presents a security ethics evaluation methodology for smart grid, which thoroughly examines the ethical implications of AI technology in power grid applications and identifies existing obstacles and threats. This paper conducts a thorough policy analysis to evaluate the present security and ethical conditions of smart grid, with the objective of offering substantive theoretical support to enhance their security and ethical advancement, thereby fostering their healthy and sustainable development. | en_US |
| dc.format.extent | 1 - 17 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Elsevier on behalf of KeAi Communications | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
| dc.subject | smart grid | en_US |
| dc.subject | artificial intelligence technology | en_US |
| dc.subject | ethics of science and technology | en_US |
| dc.subject | assessment framework | en_US |
| dc.title | An ethical assessment framework for AI security and ethics in smart grid | en_US |
| dc.type | Article | en_US |
| dc.date.dateAccepted | 2025-10-22 | - |
| dc.identifier.doi | https://doi.org/10.1016/j.gloei.2025.10.006 | - |
| dc.relation.isPartOf | Global Energy Interconnection | - |
| pubs.publication-status | Published | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 2590-0358 | - |
| dc.rights.license | https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2025-10-22 | - |
| dc.rights.holder | Global Energy Interconnection Group Co. Ltd. | - |
| dc.contributor.orcid | Chun Sing Lai [0000-0002-4169-4438] | - |
| dc.contributor.orcid | Xi Chen [0000-0002-3135-4114] | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2025 Global Energy Interconnection Group Co. Ltd.. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). | 2.65 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License