| Smart meter data: Balancing consumer privacy concerns with legitimate applications E McKenna, I Richardson, M Thomson Energy Policy 41, 807-814, 2012 | 462 | 2012 |
| High-resolution stochastic integrated thermal–electrical domestic demand model E McKenna, M Thomson Applied Energy 165, 445-461, 2016 | 371 | 2016 |
| Social implications of residential demand response in cool temperate climates SJ Darby, E McKenna Energy Policy 49, 759-769, 2012 | 302 | 2012 |
| Economic and environmental impact of lead-acid batteries in grid-connected domestic PV systems E McKenna, M McManus, S Cooper, M Thomson Applied energy 104, 239-249, 2013 | 160 | 2013 |
| Four-state domestic building occupancy model for energy demand simulations E McKenna, M Krawczynski, M Thomson Energy and Buildings 96, 30-39, 2015 | 142 | 2015 |
| Solar photovoltaic self-consumption in the UK residential sector: New estimates from a smart grid demonstration project E McKenna, J Pless, SJ Darby Energy Policy 118, 482-491, 2018 | 111 | 2018 |
| Diagramming social practice theory: An interdisciplinary experiment exploring practices as networks S Higginson, E McKenna, T Hargreaves, J Chilvers, M Thomson Indoor and Built Environment 24 (7), 950-969, 2015 | 96 | 2015 |
| Reaching a 1.5 C target: socio-technical challenges for a rapid transition to low-carbon electricity systems N Eyre, SJ Darby, P Grünewald, E McKenna, R Ford Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018 | 73 | 2018 |
| Photovoltaic metering configurations, feed‐in tariffs and the variable effective electricity prices that result E McKenna, M Thomson IET Renewable Power Generation 7 (3), 235-245, 2013 | 68 | 2013 |
| Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand E McKenna, S Higginson, P Grunewald, SJ Darby Energy Efficiency 11 (7), 1583-1597, 2018 | 64 | 2018 |
| Going with the wind: temporal characteristics of potential wind curtailment in Ireland in 2020 and opportunities for demand response E McKenna, P Grunewald, M Thomson IET Renewable Power Generation, 2014 | 50 | 2014 |
| Keep it simple: time‐of‐use tariffs in high‐wind scenarios P Grünewald, E McKenna, M Thomson IET Renewable Power Generation 9 (2), 176-183, 2015 | 47 | 2015 |
| Demand response behaviour of domestic consumers with photovoltaic systems in the UK: an exploratory analysis of an internet discussion forum E McKenna, M Thomson Energy, Sustainability and Society 4, 1-12, 2014 | 31 | 2014 |
| Short-run impact of electricity storage on CO2 emissions in power systems with high penetrations of wind power: A case-study of Ireland E McKenna, J Barton, M Thomson Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2017 | 29 | 2017 |
| Explaining daily energy demand in British housing using linked smart meter and socio-technical data in a bottom-up statistical model E McKenna, J Few, E Webborn, B Anderson, S Elam, D Shipworth, ... Energy and Buildings 258, 111845, 2022 | 26 | 2022 |
| Demand response in low-carbon power systems: a review of residential electrical demand response projects E McKenna, K Ghosh, M Thomson Loughborough University, 2011 | 24 | 2011 |
| Can practice make perfect (models)? Incorporating social practice theory into quantitative energy demand models SL Higginson, E McKenna, M Thomson Loughborough University, 2014 | 21 | 2014 |
| Utilising smart meter data for research and innovation in the UK E Webborn, S Elam, E McKenna, T Oreszczyn ECEEE summer study 2019, 1387-1396, 2019 | 19 | 2019 |
| Survey study on energy use in UK homes during Covid-19 GM Huebner, NE Watson, K Direk, E McKenna, E Webborn, F Hollick, ... Buildings and Cities 2 (1), 952-969, 2021 | 17 | 2021 |
| Demand response of domestic consumers to dynamic electricity pricing in low-carbon power systems E McKenna Loughborough University, 2013 | 15 | 2013 |
Murray ThomsonReader in Electrical Networks and Systems, Loughborough UniversityVerified email at lboro.ac.uk
