Article

Giasemidis, G., Haben, S., Lee, T., Singleton, C. and Grindrod, P. (2017) A genetic algorithm approach for modelling low voltage network demands. Applied Energy, 203 (1). pp. 463-473. ISSN 0306-2619 doi: https://doi.org/10.1016/j.apenergy.2017.06.057

Charlton, N., Singleton, C. and Greetham, D. V. (2016) In the mood: the dynamics of collective sentiments on Twitter. Royal Society Open Science, 3 (6). 160162. ISSN 2054-5703 doi: https://doi.org/10.1098/rsos.160162

Haben, S., Singleton, C. and Grindrod, P. (2016) Analysis and clustering of residential customers energy behavioral demand using smart meter data. IEEE Transactions on Smart Grid, 7 (1). pp. 136-144. ISSN 1949-3053 doi: https://doi.org/10.1109/TSG.2015.2409786

Rowe, M., Yunusov, T. ORCID: https://orcid.org/0000-0003-2318-3009, Haben, S., Singleton, C., Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 and Potter, B. (2014) A peak reduction scheduling algorithm for storage devices on the low voltage network. IEEE Transactions on Smart Grid, 5 (4). pp. 2115-2124. ISSN 1949-3053 doi: https://doi.org/10.1109/TSG.2014.2323115

Singleton, C. and Charlton, N. (2014) A refined parametric model for short term load forecasting. International Journal of Forecasting, 30 (2). 364 - 368. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2013.07.003

Haben, S., Ward, J., Vukadinovic Greetham, D., Singleton, C. and Grindrod, P. (2014) A new error measure for forecasts of household-level, high resolution electrical energy consumption. International Journal of Forecasting, 30 (2). pp. 246-256. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2013.08.002

Conference or Workshop Item

Giasemidis, G., Singleton, C., Agrafiotis, I., Nurse, J. R. C., Pilgrim, A., Willis, C. and Vukadinovic Greetham, D. (2016) Determining the veracity of rumours on Twitter. In: 8th International Conference on Social Informatics, SocInfo 2016, 15-17 November 2016, Seattle, USA, pp. 185-205.

Charlton, N., Vukadinovic Greetham, D. and Singleton, C. (2013) Graph-based algorithms for comparison and prediction of household-level energy use profiles. In: IEEE International Workshop on Intelligent Energy Systems, 14 Nov 2013, Wienna, pp. 119-124.

Haben, S., Rowe, M., Vukadinovic Greetham, D., Grindrod, P., Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624, Potter, B. and Singleton, C. (2013) Mathematical solutions for electricity networks in a low carbon future. In: Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on, 10-13 June 2013, Stockholm, 0857-0857. doi: https://doi.org/10.1049/cp.2013.0972