Tom Rodden

University of Nottingham - School of Computer Science

Jubilee Campus

Wollaton Road

Nottingham, NG8 1BB

United Kingdom

SCHOLARLY PAPERS

10

DOWNLOADS

884

SSRN CITATIONS

2

CROSSREF CITATIONS

3

Scholarly Papers (10)

1.

A Legal Turn in Human Computer Interaction? Towards ‘Regulation by Design’ for the Internet of Things

Number of pages: 38 Posted: 15 Mar 2016
Lachlan Urquhart and Tom Rodden
University of Edinburgh - School of Law and University of Nottingham - School of Computer Science
Downloads 601 (49,113)
Citation 5

Abstract:

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Internet of Things, Human Computer Interaction, Information Technology Law, Privacy by Design

2.

New Directions in Information Technology Law: Learning from Human Computer Interaction

International Review of Law, Computers and Technology, 2017, Forthcoming
Number of pages: 36 Posted: 08 Nov 2016 Last Revised: 15 Jan 2017
Lachlan Urquhart and Tom Rodden
University of Edinburgh - School of Law and University of Nottingham - School of Computer Science
Downloads 125 (249,393)
Citation 2

Abstract:

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Algorithms, IoT, Trajectories, Provenance, Affordances, Right to Be Forgotten, Human Computer Interaction, IT Law Theory, Systems Theory

3.

The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences Using UK Data

Number of pages: 10 Posted: 25 Aug 2016
Ian Dent, Uwe Aickelin and Tom Rodden
University of Nottingham - School of Computer Science, University of Nottingham, Ningbo and University of Nottingham - School of Computer Science
Downloads 58 (398,787)
Citation 5

Abstract:

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4.

Finding the Creatures of Habit; Clustering Households Based on Their Flexibility in Using Electricity

Number of pages: 4 Posted: 24 Aug 2016
Ian Dent, Uwe Aickelin, Tom Rodden and Tony Craig
University of Nottingham - School of Computer Science, University of Nottingham, Ningbo, University of Nottingham - School of Computer Science and The James Hutton Institute
Downloads 26 (535,852)
Citation 4

Abstract:

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Electricity load profiles, Clustering, Flexibility, Demand Side Management

5.

Application of a Clustering Framework to UK Domestic Electricity Data

Number of pages: 6 Posted: 26 Aug 2016
Ian Dent, Uwe Aickelin and Tom Rodden
University of Nottingham - School of Computer Science, University of Nottingham, Ningbo and University of Nottingham - School of Computer Science
Downloads 22 (560,620)
Citation 7

Abstract:

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6.

An Approach for Assessing Clustering of Households by Electricity Usage

Number of pages: 7 Posted: 25 Aug 2016
Ian Dent, Tony Craig, Uwe Aickelin and Tom Rodden
University of Nottingham - School of Computer Science, The James Hutton Institute, University of Nottingham, Ningbo and University of Nottingham - School of Computer Science
Downloads 21 (566,984)
Citation 4

Abstract:

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7.

A Method for Evaluating Options for Motif Detection in Electricity Meter Data

Journal of Data Science, Forthcoming
Number of pages: 29 Posted: 11 Dec 2017
Ian Dent, Tony Craig, Uwe Aickelin and Tom Rodden
University of Nottingham - School of Computer Science, The James Hutton Institute, University of Nottingham, Ningbo and University of Nottingham - School of Computer Science
Downloads 17 (592,943)

Abstract:

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8.

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?

Number of pages: 15 Posted: 25 Aug 2016
Ian Dent, Tony Craig, Uwe Aickelin and Tom Rodden
University of Nottingham - School of Computer Science, The James Hutton Institute, University of Nottingham, Ningbo and University of Nottingham - School of Computer Science
Downloads 8 (655,718)

Abstract:

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9.

Creating Personalised Energy Plans: From Groups to Individuals Using Fuzzy C Means Clustering

Number of pages: 2 Posted: 26 Aug 2016
University of Nottingham - School of Computer Science, University of Nottingham, University of Nottingham, Ningbo and University of Nottingham - School of Computer Science
Downloads 6 (670,150)

Abstract:

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Electricity Load Profiles, Clustering, Fuzzy C Means, Demand Side Management

10.

Towards User Centric Regulation

Posted: 22 Jun 2017
Lachlan Urquhart and Tom Rodden
University of Edinburgh - School of Law and University of Nottingham - School of Computer Science

Abstract:

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Human Computer Interaction; Information Technology Law and Regulation; Internet of Things; Privacy by Design