Outputs

All projects outputs

Below is a list of all (Build)TEDDI and the non-domestic project outputs, listed alphabetically by project. There are links for many outputs to access the full document. In total there are over 200 outputs, ranging from journal articles, conference proceedings, book chapters, invited talks, posters, public engagement events and radio show appearances.

Happy reading!


Featured Output!

REFIT

L. Stankovic, V. Stankovic, J. Liao and C. Wilson (2016)

Measuring the energy intensity of domestic activities from smart meter data.

Applied Energy, 183, pp. 1565-1580

Abstract

Household electricity consumption can be broken down to appliance end-use through a variety of methods such as modelling, sub-metering, load disaggregation or non-intrusive appliance load monitoring (NILM). We advance and complement this important field of energy research through an innovative methodology that characterises the energy consumption of domestic life by making the linkages between appliance end-use and activities through an ontology built from qualitative data about the household and NILM data. We use activities as a descriptive term for the common ways households spend their time at home. These activities, such as cooking or laundering, are meaningful to households’ own lived experience. Thus, besides strictly technical algorithmic approaches for processing quantitative smart meter data, we also draw on social science time use approaches and interview and ethnography data. Our method disaggregates a households total electricity load down to appliance level and provides the start time, duration, and total electricity consumption for each occurrence of appliance usage. We then make inferences about activities occurring in the home by combining these disaggregated data with an ontology that formally specifies the relationships between electricity-using appliances and activities. We also propose two novel standardised metrics to enable easy quantifiable comparison within and across households of the energy intensity and routine of activities of interest. Finally, we demonstrate our results over a sample of ten households with an in-depth analysis of which activities can be inferred with the qualitative and quantitative data available for each household at any time, and the level of accuracy with which each activity can be inferred, unique to each household. This work has important applications from providing meaningful energy feedback to households to comparing the energy efficiency of households’ daily activities, and exploring the potential to shift the timing of activities for demand management.

 


Outputs by projects

ADEPT APAtSCHE
Building Management… C-Aware
C-Tech CURRENT
DANCER DEFACTO
DESIMAX ENLITEN
eViz IDEAL
Informing Energy Choices… Intelligent Agents…
LAMPOST LEEDR
REDUCE REFIT
Smarter Households SYMPACT
Taking on the Teenagers Wibe
WICKED

ADEPT

  • R. Granell, C.J. Axon, D.C.H. Wallom (2015). ‘Impacts of Raw Data Temporal Resolution Using Selected Clustering Methods on Residential Electricity Load Profiles’. IEEE Transactions on Power Systems, DOI: 10.1109/TPWRS.2014.2377213, at press.
  • R. Granell, C.J. Axon, D.C.H. Wallom (2015). ‘Clustering disaggregated load profiles using a Dirichlet process mixture model’. Energy Conversion and Management, 92, pp. 507-516. DOI: 10.1016/j.enconman.2014.12.080
  • I. Pisica, C.J. Axon, P.R. Hobson, G.A. Taylor, D.C.H. Wallom (2014). ‘A multi-agent model for assessing electricity tariffs’. Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE PES, 12-15 October, Istanbul, Turkey. DOI: 10.1109/ISGTEurope.2014.7028954.
  • R. Granell, C.J. Axon, D.C.H. Wallom (2014). ‘Predicting winning and losing businesses when changing electricity tariffs’, HubNet Smartgrids Symposium, 9-10 September, Glasgow.
  • R. Granell, C.J. Axon, and D.C.H. Wallom (2014). ‘Predicting Winning and Losing Businesses When Changing Electricity Tariffs’, Applied Energy, 133, pp. 298-307, DOI: 10.1016/j.apenergy.2014.07.098.
  • I. Pisica, C.J. Axon, G.A. Taylor, R. Granell, and D.C.H. Wallom (2013). ‘Investigation of Data Communication Networks to Enable Demand Response and Dynamic Tariffs’, IEEE Conference on Green Computing and Communications, 20-23 September, Bejing, China, in Proceedings World Cybermatics Congress, pp.320-323. DOI: 10.1109/GreenCom-iThings-CPSCom.2013.72.
  • R. Granell, C.J. Axon, D.C.H. Wallom (2013). ‘Clustering Load Profiles using a Dirichlet Process Mixture Model’, HubNet Smartgrids Symposium, 18-19 September, Cardiff.
  • I. Pisica, C.J. Axon, S.J. Darby, R. Granell, P.R. Hobson, R.L. Layberry, G.A. Taylor, and D.C.H. Wallom (2013). ‘Investigation of Limitations and Enablers for Dynamic Electricity Tariffs’, HubNet Smartgrids Symposium, 18-19 September, Cardiff.
  • R. Granell, C.J. Axon, and D.C.H. Wallom (2013). ‘Dirichlet Process Mixture Model for Clustering Electricity Load Profiles’, 9th International Conference on Machine Learning and Data Mining (MLDM), 19-25 July, New York City USA, in Machine Learning and Data Mining in Pattern Recognition Poster Proceedings, Ed. Petra Perner, pp.1-6, IBAI, Berlin, Germany.
  •  S.J. Darby and I. Pisica (2013). ‘Focus on electricity tariffs: experience and exploration of different charging schemes’. Paper 8-318-13, European Council for an Energy-Efficient Economy summer study, June 3-7, Hyères, France.
  • I. Pisica, C.J. Axon, S.J. Darby, R. Granell, P.R. Hobson, R.L. Layberry, G.A. Taylor, and D.C.H. Wallom (2012). ‘Investigation of Electricity Tariffs in the UK’, 7th International Conference on Deregulated Electricity Market Issues in South-Eastern Europe, 20-21 September, Bucharest, Romania.
  • C.J. Axon, S.J. Darby, R. Granell, P.R. Hobson, R.L. Layberry, I. Pisica, G.A. Taylor, and D.C.H. Wallom (2012). ‘Advanced Dynamic Energy Pricing and Tariffs (ADEPT)’, HubNet Smartgrids Symposium, 11-12 September, Bristol.
  • C.J. Axon, S.J. Darby, R. Granell, P.R. Hobson, R.L. Layberry, I. Pisica, G.A. Taylor, and D.C.H. Wallom (2012). ‘Towards an Understanding of Dynamic Energy Pricing and Tariffs, Universities Power Engineering Conference (UPEC), 4-7 September, London, UK. DOI: 10.1109/UPEC.2012.6398452.

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APAtSCHE

Presentations:
The following presentations were given on the APAtSCHE project either at the location stated or to visiting interested parties:

  • Orkney Science Festival, Kirkwall, September 2012
  • EPRI, January 2013
  • Muswell Hill Community Energy, East Finchley, February 2013
  • SmartGridGB, Russell Square, London, February 2013
  • IBM Japan, Tokyo, Japan, March 2013
  • UKFCO, British Embassy, Tokyo, Japan, March 2013
  • Kyoto University, Kyoto, Japan, March 2013
  • Hokkaido University, Sapporo, Japan, March 2013
  • Glen Dimplex HQ, Sapporo, Japan, March 2013
  • Hitachi UK, London, June 2013
  • Nitto Denko, July 2013
  • US Office of Naval Research/Hawaii University, October 2013
  • James Watt Centre for Energy, Resource and Environmental Economics (CERES) and the Spatial Economics and Econometrics Centre (SEEC) in SML, Heriot-Watt University, October 2013
  • Shanghai University of Engineering Technology, Shanghai, China, November 2013
  • Toyota Europe, Brussels, Belgium, November 2013
  • iMinds, Ghent University, Ghent, Belgium, January 2014

Conference papers:

  • ‘Smart Grids and the Social Sciences’ conference, Trondheim, 10-11 April 2014. Accepted for ‘Public acceptance, public engagement, public resistance’: “The ageing population and smart metering: A qualitative field study on householders’ attitudes and behaviours towards energy use”.
  • Royal Geographical Society with IBG Annual Conference, London, 27-29 August 2014. Accepted for session on ‘Narrating Energy’: “The ageing population in Scotland and Fuel Poverty : A qualitative study on householders’ attitudes, behaviours and strategies implemented for energy use”
  • Behave Energy conference, Oxford University, 3-4 September 2014, Oxford. ‘Paradigm Shift: From Energy Efficiency to Energy Reduction through Social Change’: Ageing Population Attitudes to Sensor Controlled Home Energy (APAtSCHE)

Publications:

  • Greta Barnicoat & Mike Danson (2015) The ageing population and smart metering: A field study of householders’ attitudes and behaviours towards energy use in Scotland. Energy Research & Social Science, 9, 107-115.

  • B Stephen and S Galloway, G Barnicoat and M. Danson, “Demand Based Ancillary Grid Services: a Lifeline to the Fuel Poor?” submitted to IEEE PES, Letters (Jan 2014)
  • TEDDINET Newsletter 1: Behavioural Science and Household Energy Choices, University of Stirling (04/12/13). Review by Dr Greta Barnicoat, Heriot-Watt University (APAtSCHE)
  • TEDDINET Newsletter 1: Energy and Equity –affordable warmth wherever you live. NEA and Calor Rural Fuel Poverty Conference, York (10/12/13). Review by Dr Greta Barnicoat, Heriot-Watt University (APAtSCHE)
  • A. Seeam, J. Liao, L. Stankovic, and V. Stankovic, “Improving energy efficiency with smart home appliance monitoring,” EEDAL-2013 Energy Efficiency in Domestic Appliances and Lighting, Coimbra, Portugal, September 2013.
  • G. Elafoudi, L. Stankovic, and V. Stankovic, “Power Disaggregation of domestic smart meter readings using Dynamic Time Warping”, in Proc. 2014 International Symposium on Communications, Control, and Signal Processing, Athens, Greece, May 2014.
  • E. Robertson, B. Stephen and S. Galloway, “A Machine Learning Approach to Determining Viable Energy Demand Futures” , invited abstract accepted for “IQ SCENE workshop” to be held in at UCL 26/27th March 2014.

Internal Working papers:

  • “Demonstrating the potential of disaggregation from smart meter data: A case study”, V. Stanlovic, G. Elafoudi et al.
  • “Activity Recognition from Smart Meter Data,”, V. Stakovic, J. Liao et al.
  • “Encoding temporal dependency in electrical load profiles” , B. Stephen, J Berardino & S Galloway Intended for IEEE Transactions on Industrial Informatics
  • “Demand Response Technology and Aging Populations: UK and Japan Perspectives”, working paper G. Barnicoat, B. Stephen, M. Danson & S. Galloway .
  • “Extensions for IEC61970 to the premises level: information models for residential demand”, B. Stephen, K. Jennett, A. McMorran& S. Galloway; Intended for IEEE Transactions on Power Systems.
  • G. Barnicoat, E. Robertson, S. Galloway and M. Danson, ““Systems modelling of the natural gas and electrical systems in the Scotland” intended for energy policy.

Knowledge exchange activities:

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Building Management linking Energy Demand, Distributed Conversion and Storage using Dynamic Modelling and a Pervasive Sensor Infrastructure
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C-Aware

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C-Tech

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CURRENT
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DANCER

  • Kathryn Buchanan, Nick Banks, Ian Preston, Riccardo Russo (2016) The British public’s perception of the UK smart metering initiative: Threats and opportunities Energy Policy Volume 91, Pages 87–97

  • Liao, Z.,  Buchanan, K.,  Adjrad, M., Vastardis, N.,  Koch, C., Ghavami, N.,  Ghavami, M.,  Russo, R.,  Yang, K.,  Anderson, B., &  Dudley, S.. “Human Behaviour Model Combining Multiple Sensors”, European Council for an Energy Efficient Economy Summer Study (ECEEE’15), June 1-6, 2015.
  • Buchanan, K.E., Russo., R. & Anderson, B. Can Feedback Vanquish Energy Vampires? European Council for an Energy Efficient Economy Summer Study (ECEEE’15), June 1-6, 2015.
  • Vastardis, N., Adjrad, M.,  Buchanan, K.,  Liao, Z.,  Koch, C.,  Russo, R.,  Yang, K., Ghavami, M.,  Anderson, B., & Dudley, S. “A User-Centric System Architecture for Residential Energy Consumption Reduction”, IEEE Online Conference on Green Communications (Online GreenComm’14), 12-14 November 2014.
  • Buchanan, K.E. &, Russo. R. (2015). Going the Extra Green Mile: When Others’ Actions Fall Short of their Responsibility.Journal of Environmental Psychology. doi:10.1016/j.jenvp.2015.03.002
  • Buchanan, K.E., Russo, R., & Anderson, B. (2015). The Question of Energy Reduction: The Problem(s) with Feedback.  Energy Policy, 77, 89-96. doi:10.1016/j.enpol.2014.12.008
  • Buchanan, K.E., Russo, R., & Anderson, B. (2014). Feeding Back About Eco-Feedback: How Do Consumers Use and Respond to Energy Monitors? Energy Policy, 73, 138-146. http://dx.doi.org/10.1016/j.enpol.2014.05.008
  • J. Zhang, K. Yang, et al. (2013) “A Self-Adaptive Regression Based Multivariate Data Compression Scheme with Error Bound in Wireless Sensor Networks”. Hindawi Int. Journal of Distributed Sensor Networks (IJDSN), Article ID 913497
  • G. Zhang, K. Yang, et al. (2013) “Incentive Mechanism for Multiuser Cooperative Relaying in Wireless Ad Hoc Networks: A Resource-Exchange Based Approach”, I. J. of Wireless Personal Communications (WPC); Volume 73, p. 697-715.
  • C. Koch, N. Islam, O. Onalaja, M. Adjrad and S. Dudley, “Cloud-based M2M Platforms to Promote Individualised Home Energy Management Systems”, The 4th International Conference on Smart Communications in Network Technologies (SaCoNeT 2013 – IEEE conf), Paris, France , 17-19 June 2013.

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DEFACTO

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DESIMAX

  • A. J. Collin, G. Tsagarakis, A. E. Kiprakis and S. McLaughlin ‘Development of Low-Voltage Load Models for the Residential Load Sector’, (submitted) IEEE Transactions on Power Systems.
  • G. Tsagarakis, A. J. Collin and A. E. Kiprakis, ‘A Statistical Survey of the UK Residential Sector Electrical Loads’, International Journal of Emerging Power Systems, Degruyter Online, in press (February 2014).
  • G. Tsagarakis, A. J. Collin, A. E. Kiprakis and S. McLaughlin (2013) ‘Voltage Control of UK Residential Customers for Power Reduction’, in proc. IEEE PES PowerTech, June 2013, Grenoble, France.
  • A. J. Collin, G. Tsagarakis, A. E. Kiprakis, and S. McLaughlin (2012) ‘Multi-scale Electrical Load Modelling for Demand-Side Management’, in proc. 3rd IEEE PES Innovative Smart Grid Technologies Conference (ISGT Europe), October 2012, Berlin, Germany.
  • G. Tsagarakis, A. J. Collin and A. E. Kiprakis (2012) ‘Modelling the electrical loads of UK residential energy users’, in proc. 47th Universities Power Engineering Conference (UPEC 2012), London, UK.
  • A. E. Kiprakis, I. Dent, S. Djokic, and S. McLaughlin (2011) ‘Multi-scale Dynamic Modeling to Maximize Demand Side Management’ in proc. 2nd IEEE PES Innovative Smart Grid Technologies (ISGT Europe) Conference, December 2011, Manchester, UK.

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ENLITEN
Papers

  • E Gabe-Thomas, I Walker, B Verplanken, G Shaddick (2016). Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity. PloS one 11 (7)
  • Mogles, N., Ramallo-González, A. P., Gabe-Thomas, E. (2015) Towards a Cognitive Agent-based Model for Air Conditioners Purchasing Prediction, Procedia Computer Science, Volume 51, 2015, Pages 463-472, ISSN 1877-0509. PDF
  • Ramallo-Gonźlez, A. P., Brown, M., Coley, D. A. (2015). A remote window surveying tool for energy efficient refurbishment. 6th International building Physics Conference, Turin, Italy, 14-17 June 2015.
  • Lovett, T., Gabe-Thomas, E., Natarajan, S., Brown, M., Padget, J. (2014) Designing Sensor Sets for Capturing Energy Events in Buildings. ACM e-Energy.
  • Lovett, T., Gabe-Thomas, E., Natarajan, S., O’Neill, E., Padget, J. (2013) ‘Just enough’ sensing to ENLITEN: A preliminary demonstration of sensing strategy for the `ENergy LIteracy Through an Intelligent Home ENergy Advisor’ (ENLITEN) project. ACM e-Energy.

Conference Presentations

  • Ramallo-Gonzalez, A. P., Lovett, T., Liu C., Brown, M., Coley, D. Remote window surveying tool. 6st International Building Physics Conference. Torino, Italy, 2015. (Under Review)
  • Ramallo-González, A. P., Brown, M., Coley, D. A. (2014). Quantifying the impact of uncertain impacts in inverse modelling of buildings. ASHRAE/IBPSA Conference, Atlanta, USA.
  • Gabe-Thomas, E., Walker, I., & Verplanken, B. (2014). Exploring mental representations of home energy practices and habitual energy consuming behaviours. BEHAVE energy conference, Oxford, UK.
  • Gabe-Thomas, E., Walker, I., & Verplanken, B. (2014). Exploring mental representations of home energy practices and habitual energy consuming behaviours. 28th International Congress of Applied Psychology, Paris, France.
  • Gabe-Thomas, E., Walker, I., Verplanken, B. & Lovett, T. (2013). ENLITEN project and mental representations of home energy systems. Influencing Climate Change Policy workshop. Berkshire, United Kingdom.
  • Gabe-Thomas, E., Walker, I., Verplanken, B. & Lovett, T. (2013). Mental representations of home energy systems. 10th Biennial Conference on Environmental Psychology, Magdeburg, Germany.
  • Ramallo-González, A. P., Coley, D. A., (2013). Using HPC to create an intelligent entity capable of recognising building energy performance by capturing basic thermal information. HPC Symposium, Bath, UK.

Poster Presentations

  • Ramallo-Gonzalez, A., Mogles, N. & Gabe-Thomas, E. (2014). Towards an agent-based model for A/C purchasing prediction. 1st International Symposium on Occupant Behaviour, OB’14. University of Nottingham, United Kingdom.
  • Gabe-Thomas, E., Walker, I., Verplanken, B. & Lovett, T. (2013). Card sorting as method for exploring mental representations with environmental implications. 10th Biennial Conference on Environmental Psychology, Magdeburg, Germany.
  • Gabe-Thomas, E., Lovett, T. & Ramallo-Gonzalez, A. (2013). ENLITEN: Energy Literacy through an Intelligent Home Energy Advisor. Futurebuild Conference. University of Bath, United Kingdom.
  • (download papers at: http://www.cs.bath.ac.uk/enliten/pubs.php)

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eViz

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IDEAL

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Informing Energy Choices using Ubiquitous Sensing

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Intelligent Agents for Home Energy Management

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LAMPOST
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LEEDR

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REDUCE

  • P. Bradley, S. Fudge & M. Leach Motivating energy conservation in organisations: smart metering and the emergence and diffusion of social normsTechnology Analysis & Strategic Management DOI: 10.1080/09537325.2015.1099625

  • Murtagh, N., Gatersleben, B. and Uzzell, D. (2014) A qualitative study of perceptions of household and societal impacts of demand response. Technology Analysis and Strategic Management .  doi: 10.1080/09537325.2014.974529. Published online 5/11/2014 http://www.tandfonline.com/doi/abs/10.1080/09537325.2014.974529#.VG8ULYusWWU
  • Murtagh, N., Gatersleben, B. and Uzzell, D. (2014) 20:60:20 – Differences in Energy Behaviour and Conservation between and within Households with Electricity Monitors. PLoS ONE.9(3):e92019.10.1371 http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0092019
  • Murtagh, N., Gaterslseben, B. & Uzzell, D. (2014) Societal implications of demand response: a qualitative study in southern England. BEHAVE. Oxford, UK. 3rd-4th September.
  • Murtagh, N., Domecka, M, Al-Azzawi, R., Gatersleben, B. & Uzzell, D. (2012) Individual behaviour, policies and culture: Multiple approaches to sustainability at work. Going Green Working Group Annual Conference, London. November 8th
  • Peter Bradley, Matthew Leach, Jacopo Torriti, “A review of costs and  benefits of demand response for electricity in the UK ”, Energy Policy
  • Peter Bradley, Angela Druckman, Tim Jackson, “The Development of Commercial Local Area Resource and Emissions Modelling – navigating towards new perspectives and applications”, Journal of Cleaner Production
  • Murtagh N, Nati M, Headley WR, Gatersleben B, Gluhak A, M A Imran, D Uzzell, Individual energy use and feedback in an office setting: a field trial. Energy Policy, Vol 62, pp 717-728, 2013, Elsevier. http://www.sciencedirect.com/science/article/pii/S0301421513007337
  • Ahmed Zoha, Alexander Gluhak, Michele Nati, Muhammad Ali Imran,  Sutharshan Rajasegarar, “Acoustic and device feature fusion for load recognition” Proceedings of 6th IEEE International Conference on Intelligent Systems (IS), 2012 ,  vol. 1, pp.386-392, 6-8 Sept. 2012, Sofia, Bulgaria
  • Colin O’Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar, “Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks” Proceedings of 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2012 ,  pp.191-199, 18-21 June 2012, Seoul, South Korea
  • Peter Bradley and Matthew Leach, “A review of the costs and benefits of demand response for electricity in the UK”, British Institute of Energy Economics (BIEE) 9th Academic Conference in association with UKERC, 19th September 2012, St. John’s College, Oxford, UK.
  • Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar, “Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey.” Sensors 12, no. 12: 16838-16866,2012.
  • Ahmed Zoha, Alexandar Gluhak, Michele Nati, Muhammad Ali Imran, “Low-Power Appliance Monitoring Using Factorial Hidden Markov Model” in Proceedings of Eight IEEE International  Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Melbourne, Australia, 2013
  • Niamh Murtagh and Brigitta Gaersleben, “Individual energy use and feedback in an office setting: a field trial”, Environmental Psychology Conference, 22nd Sept. 2013, Magdeburg, Germany.
  • Peter Bradley, Matthew Leach and Jacopo Torriti, “National Energy Research Network Newsletter – 01/02/2013”, Energy Policy Newsletter, 1st February 2013, United Kingdom.
  • Rajasegarar, Sutharshan, Christopher Leckie, and Marimuthu Palaniswami. (2013) “Hyperspherical cluster based distributed anomaly detection in wireless sensor networks.” Journal of Parallel and Distributed Computing.
  • Nati, Michele, Alexander Gluhak, Hamidreza Abangar, and William Headley. “SmartCampus: A user-centric testbed for Internet of Things experimentation.” In 16th International Symposium on Wireless Personal Multimedia Communications (WPMC), 2013 , pp. 1-6. IEEE, 2013.
  • Bradley P, T Jackson, A Druckman (2013). “Commercial local area resource and emissions modelling – navigating towards new perspectives and applications”. Journal of Cleaner Production, Vol. 42, pp. 241–253.
  • William Headley “ Sensing and Emulation Hardware for Advanced IOT Experimentation ”, CCSR, University of Surrey, Working paper, 2012

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REFIT

  • L. Stankovic, V. Stankovic, J. Liao and C. Wilson (2016) Measuring the energy intensity of domestic activities from smart meter dataApplied Energy, 183, pp. 1565-1580
  • Dimitriou, V., Firth, S.K., Hassan, T.M., Kane, T. and Coleman, M., (2015)Data-driven simple thermal models: The importance of the parameter estimates. Proceedings of the International Building Physics Conference (IBPC2015), Turin, Italy, 14-17 June 2015.
  • Hargreaves, T. , Hauxwell-Baldwin, R. and Wilson, C., (2015) Smart homes, control and energy management. Presentation given at the Nordic Environmental Social Science (NESS) conference, Trondheim, Norway, June 2015. The presentation can be downloaded here.
  • Hargreaves, T., Hauxwell-Baldwin, R., Coleman, M., Wilson, C., Stankovic, L., Stankovic, V., Murray, D., Liao, J., Kane, T., Firth, S.K. and Hassan, T., (2015) Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life? Paper presented at the European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study, Toulon/Hyères, France, June 2015. The paper presentation can be downloaded here.
  • Hauxwell-Baldwin, R., 2015. Assessing users’ post-installation responses to smart home technologies. Industry report. File available for download here.
  • Kane, T., Firth, S.K., Fouchal, F., Dimitriou, V., Hassan, T., Mitchell, V., Cockbill, S., May, A., Liao, J., Stankovic, L., Murray, D., Stankovic, V. and Wilson, C., (2015) Supporting retrofit decisions using smart meter data: a multi-disciplinary approach. Paper presented at the European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study, Toulon/Hyères, France, June 2015. The paper presentation can be downloaded here.
  • Wilson, C., Stankovic, L., Stankovic, V., Liao, J., Coleman, M., Hauxwell-Baldwin, R., Kane, T., Firth, S.K. and Hassan, T., (2015) Identifying the time profile of everyday activities in the home using smart meter data. Paper presented at the European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study, Toulon/Hyères, France, June 2015. The paper presentation can be downloaded here.
  • Wilson, C., T. Hargreaves and R. Hauxwell-Baldwin (2014). “Smart homes and their users: a systematic analysis and key challenges.” Personal and Ubiquitous Computing. DOI 10.1007/s00779-014-0813-0 http://link.springer.com/article/10.1007/s00779-014-0813-0
  • Liao, J., Stankovic, L. & Stankovic, V. (2014) Detecting household activity patterns from smart meter data. Proceedings of 10th IEEE International Conference on Intelligent Environments, IE’14. Shanghai, China.
  • Liao, J., Elafoudi, G., Stankovic, L. & Stankovic, V. (2014) Disaggregation for low sampling rate data. Proceedings of 2nd International Workshop on Non-Intrusive Load Monitoring. Austin, Texas.
  • Elafoudi, G., Stankovic, L. & Stankovic, V. (2014) Power disaggregation of domestic smart meter readings using dynamic time warping. Proceedings of 6th IEEE International Symposium on Communications, Control and Signal Processing (ISCCSP). Athens, Greece.
  • Firth S.K., Fouchal, F., Kane, T., Dimitriou, V. and Hassan, T. (2013) Decision support systems for domestic retrofit provision using smart home data streams. Proceedings of CIB W78 2013: Move towards Smart Buildings, Infrastructure and Cities, Beijing, China
  • Hargreaves, T., Wilson, C. and Hauxwell-Baldwin, R. (2013) Who uses smart homes? Representations of users by the smart home industry. European Society for Ecological Economics (ESEE) Annual Conference. Lille, France. June 2013.
  • Hargreaves, T., Wilson, C. and Hauxwell-Baldwin, R. (2013) Who uses smart home technologies? Representations of users by the smart home industry. Paper presented at the European Council for an Energy Efficient Economy (ECEEE) 2013 Summer Study, Toulon/Hyères, France. June 2013.
  • Seeam, A., Liao, J., Stankovic, L. and Stankovic, V. (2013) Improving Energy Efficiency with Smart Home Appliance Monitoring, Proceedings of EEDAL’13.
  • Hauxwell-Baldwin, R., Hargreaves, T. and Wilson, C. (2013) Smart homes for smart practices? Using technology biographies to understand how smart home technologies influence social practices. Royal Geographical Society Annual Conference. London. August 2013.
  • Hargreaves, T. (2013) Smart homes and their users. Invited seminar to the ‘Understanding Risk Research Group’. University of Cardiff, Cardiff. May 2013.
  • Wilson, C., Hargreaves, T. and Hauxwell-Baldwin, R. (2013) Using smart homes: themes, linkages and disconnects in research on smart homes and their users. Joint Science, Society and Sustainability (3S) Research Group and Tyndall Centre Working Paper: University of East Anglia, Norwich, UK. 3S Working Paper Series number 2013-23.

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Smarter Households

  • Chiang, T., Mevlevioglu, G., Natarajan, S., Padget, J. and Walker, I., 2014. Inducing [sub]conscious energy behaviour through visually displayed energy information : A case study in university accommodation. Energy and Buildings, 70, pp. 507-515.

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SYMPACT

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Taking on the Teenagers

  • Cowan, B. R., Avramides, K., & Beale, R. (2013). Should cool be a design goal? Proceedings of BCS HCI 2013, London, BCS/ACM, London, UK.
  • Avramides, K., Craft, B., & Luckin, R. (2013). Understanding teenagers’ personal contexts to design technology that supports learning about energy consumption. Interactive Learning Environments, 1-16.
  • Toth, N., Little, L., Read, J. C., Fitton, D., & Horton, M. (2013). Understanding teen attitudes towards energy consumption. Journal of Environmental Psychology, 34, 36-44.
  • Avramides, K., Craft, B., & Luckin, R. (2013). Modelling teenage personal contexts to support technology enhanced enquiry into personal energy consumption. Computers & Education, 69, 377-386.
  • Bell, B. T., Toth, N., Read, J. C., Horton, M., Fitton, D., Little, L., Beale, R., & Guo, Y. (2013). Teenagers talking about technologies: designing technology to reduce teen energy use. In CHI’13 Extended Abstracts on Human Factors in Computing Systems (pp. 1491-1496). ACM.
  • Cowan, B.R., Bowers, C.P., Beale, R. & Pinder, C. (2013). The Stroppy Kettle: Changing energy consumption habits. In CHI’13 Extended Abstracts on Human Factors in Computing Systems (pp. 1485-1490). ACM
  • Fitton, D., Read, J. C., & Horton, M. (2013). The challenge of working with teens as participants in interaction design. In CHI’13 Extended Abstracts on Human Factors in Computing Systems (pp. 205-210). ACM.
  • Read, J. C., Horton, M., Sim, G., Gregory, P., Fitton, D., & Cassidy, B. (2013). CHECk: a tool to inform and encourage ethical practice in participatory design with children. In CHI’13 Extended Abstracts on Human Factors in Computing Systems (pp. 187-192). ACM.
  • Little, L., Bell, B., Defeyter, G., Read, J. C., Fitton, D., & Horton, M. (2013). Behaviour change interventions: teenagers, technology and design. In Proceedings of the 12th International Conference on Interaction Design and Children (pp. 610-612). ACM.
  • Read, J. C., Horton, M., Iversen, O., Fitton, D., & Little, L. (2013). Methods of working with teenagers in interaction design. In CHI’13 Extended Abstracts on Human Factors in Computing Systems (pp. 3243-3246). ACM.
  • Yukang Guo, Matt Jones, Benjamin Cowan, and Russell Beale. 2013. Take it personally: personal accountability and energy consumption in domestic households. In CHI ’13 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’13). ACM, New York, NY, USA, 1467-1472.
  • Nicola Toth, Linda Little, Janet Read, Yukang Guo, Daniel Fitton, and Matthew Horton. 2012. Teenagers talking about energy: using narrative methods to inform design. In CHI ’12 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’12). ACM, New York, NY, USA, 2171-2176.
  • Horton, M., Read, J. C., Fitton, D., Toth, N., & Little, L. (2012). Too Cool at School–Understanding Cool Teenagers. PsychNology Journal, 10(2).
  • Fitton, D., Read, J. C., Horton, M., Little, L., Toth, N., & Guo, Y. (2012). Constructing the Cool Wall: A Tool to Explore Teen Meanings of Cool. PsychNology Journal, 10(2).
  • Toth, N., Little, L., Read, J., Guo, Y., Fitton, D., & Horton, M. (2012). Teenagers talking about energy: using narrative methods to inform design. In CHI’12 Extended Abstracts on Human Factors in Computing Systems (pp. 2171-2176). ACM.
  • Fitton, D., Horton, M., Read, J. C., Little, L., & Toth, N. (2012). Climbing the cool wall: exploring teenage preferences of cool. In CHI’12 Extended Abstracts on Human Factors in Computing Systems (pp. 2093-2098). ACM.
  • Horton, M., Read, J. C., Mazzone, E., Sim, G., & Fitton, D. (2012). School friendly participatory research activities with children. In CHI’12 Extended Abstracts on Human Factors in Computing Systems (pp. 2099-2104). ACM.
  • Catherine Flick, Penny Duquenoy, and Matt Jones. 2012. Designing for child resilience. In CHI ’12 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’12). ACM, New York, NY, USA, 761-764.
  • Read, J., Fitton, D., Cowan, B., Beale, R., Guo, Y., & Horton, M. (2011). Understanding and designing cool technologies for teenagers. In CHI’11 Extended Abstracts on Human Factors in Computing Systems (pp. 1567-1572). ACM.
  • Fitton, D., Read, J. C., Cowan, B. R., Beale, R., & Gao, Y. (2011). Creating “Cool” Mobile Technologies To Reduce Teen Energy Use. In Persuasion, Influence, Nudge, and Coersion (PINC) workshop, ACM CHI. Vancouver, B.C., Canada.
  • Fitton, D., Horton, M., Guo, Y., & Read, J. C. (2011). Turning Up the Heat on Energy Monitoring in the Home. In 1st International Conference of Revisiting the Social-Political and Technological Dimensions of Climate Change (pp. 97-106).
  • Cowan, B. R., & Beale, R. (2011). Cooler by numbers: Should we design for and influence people using cool? In Design for Cool Workshop: BCS HCi 2011, Newcastle, UK, BCS/ACM. Newcastle, UK: BCS/ACM.
  • Beale, R., & Bullock, A.-M. (2011). Greening the Teens. Costing the Earth. UK: BBC Radio 4.

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Wibe

  • Coleman, M., Irvine, K., Lemon, M., & Shao, L. (2012). Evaluating personalised energy feedback information for behaviour change in commercial buildings. In Proceedings of the 2012 International Energy Program Evaluation Conference, Rome, Italy.
  • M Coleman; K Irvine; M Lemon; LShao (2013); “Promoting behaviour change through personalised energy feedback in offices” Building Research & Information.
  • Li Shao, Michael Coleman, Robert Foster, Robert Shipman, Mark Gillott Yang Hao, Kate Irvine, Mark Lemon, Max Munoz, (2013) “Reduction of energy demand in buildings through optimal use of wireless behaviour information (Wi-be) systems” International Conference on Applied Energy, ICAE 2013, Jul 1-4, 2013, Pretoria, South Africa

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WICKED
Energy Studies

Maths

  • Lee, T. E., S. A. Haben, & P. Grindrod. 2014. “Modelling the electricity consumption of small to medium enterprises.”  Paper read at 18th European Conference on Mathematics for Industry (ECMI) conference. Taormina, Italy. June 9-14, 2014. Download: 2014 ECMI Lee Haben Grindrod

Law

  • Bright, S., J. Patrick, B. Thomas, K. B. Janda, E. Bailey, T. Dixon, & S. Wilkinson. 2015. “The evolution of “greener” leasing practices in Australia and England.”  In Proceedings of COBRA,  July 8-10, 2015  (Sydney, Australia). Royal Institute of Chartered Surveyors (RICS).
  • Bright, S., & H. Dixie. 2014. “Evidence of Green Leases in England and Wales.” International Journal of Law in the Built Environment 6 (1/2):6-20. Download: 2014 ijlbe bright dixie

Computing

  • Granell, R., C. J. Axon, & D. Wallom. 2015. “Clustering disaggregated load profiles using a Dirichlet process mixture model.” Energy Conversion and Management 92 (March):507 – 516.

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