Research output per year
Research output per year
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods
Khazaei, M., Stankovic, L. & Stankovic, V., 18 Nov 2020, (E-pub ahead of print). 5 p.Research output: Contribution to conference › Proceeding › peer-review
Open AccessFile1 Citation (Scopus)61 Downloads (Pure) -
Explainable NILM Networks
Murray, D., Stankovic, L. & Stankovic, V., 18 Nov 2020, (E-pub ahead of print). 6 p.Research output: Contribution to conference › Proceeding › peer-review
Open AccessFile1 Citation (Scopus)76 Downloads (Pure) -
Deep-based conditional probability density function forecasting of residential loads
Afrasiabi, M., Mohammadi, M., Rastegar, M., Stankovic, L., Afrasiabi, S. & Khazaei, M., 31 Jul 2020, In: IEEE Transactions on Smart Grid. 11, 4, p. 3746-3757 12 p., 8988175.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Citations (Scopus)17 Downloads (Pure)
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PGCon: Edinburgh Postgraduate Conference
Mohammad Khazaei (Participant), Lina Stankovic (Participant) & Vladimir Stankovic (Participant)
15 Oct 2019 → 16 Oct 2019Activity: Participating in or organising an event types › Participation in conference
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Transferable low rate NILM using deep neural network architectures
David Murray (Speaker), Lina Stankovic (Contributor) & Vladimir Stankovic (Contributor)
2 Oct 2018Activity: Talk or presentation types › Oral presentation
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Unlocking the potential of smart meter data via energy analytics
Lina Stankovic (Invited speaker) & Vladimir Stankovic (Invited speaker)
3 Jun 2018Activity: Talk or presentation types › Invited talk