Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Machine Intelligence
  • Comment
  • Published:

Consider ethical and social challenges in smart grid research

Nature Machine Intelligencevolume 1, pages548–550 (2019)Cite this article

Subjects

Artificial intelligence and machine learning are increasingly seen as key technologies for building more decentralized and resilient energy grids. However, researchers must consider the ethical and social implications of these developments.

This is a preview of subscription content,access via your institution

Access options

Access through your institution

Access Nature and 54 other Nature Portfolio journals

Get Nature+, our best-value online-access subscription

9,800 Yen / 30 days

cancel any time

Subscribe to this journal

Receive 12 digital issues and online access to articles

￥14,900 per year

only ￥1,242 per issue

Buy this article

  • Purchase on SpringerLink
  • Instant access to full article PDF

Prices may be subject to local taxes which are calculated during checkout

References

  1. Ramchurn, S. D., Vytelingum, P., Rogers, A. & Jennings, N. R.Commun. ACM55, 86–97 (2012).

    Article  Google Scholar 

  2. Grundy, A.Currenthttps://www.current-news.co.uk/news/over-50-000-daily-smart-meter-installs-needed-to-meet-2020-target (2019).

  3. Orkney Islands Councilhttps://www.orkney.gov.uk/OIC-News/285m-ReFLEX-Orkney-project-to-create-a-smart-energy-island.htm (2019).

  4. Community Energy Scotlandhttps://www.communityenergyscotland.org.uk/projects.asp (2019).

  5. Andoni, M. et al.Renew. Sustain. Energy Rev.100, 143–174 (2018).

    Article  Google Scholar 

  6. Floridi, L.Nat. Mach. Intell.1, 261–262 (2019).

    Article  Google Scholar 

  7. Parson, O., Ghosh, S., Weal, M. & Rogers, A. inProc. 26th International Conference on Artificial Intelligence (AAAI, 2012).

  8. Kolter, J. A. & Jaakkola, T.Proc. 15th International Conference on Artificial Intelligence and Statistics 1472–1482 (PMLR, 2012).

  9. Mokhtar, M. et al. inProc. 9th IEEE International Conference Smart Grid Technology (IEEE, 2019).

  10. Robu, V. et al.J. Artif. Intell. Res.48, 175–230 (2013).

    Article MathSciNet  Google Scholar 

  11. Ma, H., Robu, V., Li, N. & Parkes, D. C. inProc. 25th International Joint Conference on AI 352–358 (IJCAI, 2016).

  12. Kota, R. Chalkiadakis, G., Robu, V., Rogers, A. & Jennings, N. R. inProc. 7th Conference on Prestigious Applications of Intelligent Systems 969–974 (ACM, 2012).

  13. Bitcoin, Blockchain, and the Energy Sector (US Congressional Research Service, 2019).

  14. Sloane, M. & Moss, E.Nat. Mach. Intell.1, 330–331 (2019).

    Article  Google Scholar 

  15. Costanza, E. et al. inProc. SIGCHI Conference on Human Factors in Computing Systems 813–822 (ACM, 2014).

  16. Alam, M., Alan, A. T., Rogers, A. & Ramchurn, S. D. inProc. ACM International Conference on Systems for Energy-Efficient Buildings,Cities, and Transportation 32 (ACM, 2013).

  17. Ramchurn, S. et al. inProc. 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS, 2013).

  18. Andoni, M., Robu, V., Fruh, W.-G. & Flynn, D.Appl. Energy201, 174–187 (2017).

    Article  Google Scholar 

  19. Etukudor, C. et al. inProc. 2009 IEEE Power Africa Conference (IEEE, 2019).

  20. Alam, M., Ramchurn, S. D. & Rogers, A. inProc. 12th International Conference on Autonomous Agents and Multi-Agent Systems 731–738 (AAMAS, 2013).

  21. Sharma, S. & Abhyankar, A. R.IEEE Trans. Power Sys.32, 1369–1377 (2017).

    Google Scholar 

  22. Norbu, S. & Bandyopadhyay, S.Energy135, 466–475 (2017).

    Article  Google Scholar 

  23. Oluwasuji, O. I., Malik, O., Zhang, J. & Ramchurn, S. D. inProc. 27th International Joint Conference on AI 1590–1596 (IJCAI, 2018).

  24. Gov.UKhttps://www.gov.uk/government/news/offshore-wind-energy-revolution-to-provide-a-third-of-all-uk-electricity-by-2030 (2019).

Download references

Acknowledgements

The authors would like to acknowledge the support of the UK Research Councils through the CESI projects CESI (EP/P001173/1), CEDRI (EP/R008655/1), NCEWS (KTP:510925) and Reflex (InnovateUK: 104780).

Author information

Authors and Affiliations

  1. Smart Systems Group, Heriot-Watt University, Edinburgh, Scotland, UK

    Valentin Robu, David Flynn, Merlinda Andoni & Maizura Mokhtar

Authors
  1. Valentin Robu

    You can also search for this author inPubMed Google Scholar

  2. David Flynn

    You can also search for this author inPubMed Google Scholar

  3. Merlinda Andoni

    You can also search for this author inPubMed Google Scholar

  4. Maizura Mokhtar

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toValentin Robu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Robu, V., Flynn, D., Andoni, M.et al. Consider ethical and social challenges in smart grid research.Nat Mach Intell1, 548–550 (2019). https://doi.org/10.1038/s42256-019-0120-6

Download citation

Access through your institution
Buy or subscribe

Advertisement

Search

Advanced search

Quick links

Nature Briefing

Sign up for theNature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox.Sign up for Nature Briefing
[8]ページ先頭
©2009-2025 Movatter.jp