Number of items: 9.
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
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.
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
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
This list was generated on Thu Nov 21 12:08:10 2024 UTC.