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Ian Dent
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Role: |
PhD Student
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Qualifications: |
BSc (University of Warwick)
Professional Diploma (Chartered Institute of Marketing)
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Office: |
B50 |
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Telephone: |
+44 (0) 115 84 66568
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Email: |
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
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Homepage: |
http://www.ima.ac.uk/dent
http://uk.linkedin.com/in/iandent
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Research
Ian's current research is in the generation and clustering of domestic electricity usage profiles and the detection of “interesting” patterns with a view to reducing electricity usage or increasing electrical efficiency. He is working on a research project concerned with maximising the impact of demand-side interventions on the overall electricity network.
I am associated with the The Mixed Reality Laboratory (MRL) and the Horizon Digital Economy Research Institute.
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Teaching & Supervision
- My supervisors are Uwe Aickelin and Tom Rodden
- Lab supervision for "Introduction to Modeling and Optimisation" (G52IMO) - 2011 and 2012
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Current Projects
- Desimax - maximising demand side management. Research is funded through EPSRC grant reference EP/I000496/1.
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Memberships
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Conference Papers |
| Author(s) |
Title |
Publisher |
Page |
Year |
| Aristides Kiprakis, Ian Dent, Sasa Djokic, Stephen McLaughlin |
Multi-scale Dynamic Modeling to Maximize Demand Side Management |
IEEE Power and Energy Society Innovative Smart Grid Technologies Europe 2011, Manchester, UK |
tbc |
2011 |
| Ian Dent, Christian Wagner, Uwe Aickelin, Tom Rodden |
Creating Personalised Energy Plans. From Groups to Individuals using Fuzzy C Means Clustering |
Digital Engagement 11, Newcastle, November 2011 |
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2011 |
| Ian Dent, Uwe Aickelin, Tom Rodden |
The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences using UK data |
Buildings Do Not Use Energy, People Do Research Student Conference, Bath, UK |
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2011 |
| Ian Dent, Uwe Aickelin, Tom Rodden |
Application of a clustering framework to UK domestic electricity data |
UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester |
161-166 |
2011 |
Research Reports |
| Author(s) |
Title |
Publisher |
Page |
Year |
| Ian Dent, Christian Wagner, Uwe Aickelin, Tom Rodden |
Creating Personalised Energy Plans: From Groups to Individuals using Fuzzy C Means Clustering |
Digital Engagement 2011, Newcastle |
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2011 |
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Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.
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