| Analysis and clustering of residential customers energy behavioral demand using smart meter data S Haben, C Singleton, P Grindrod IEEE transactions on smart grid 7 (1), 136-144, 2015 | 430 | 2015 |
| A new error measure for forecasts of household-level, high resolution electrical energy consumption S Haben, J Ward, DV Greetham, C Singleton, P Grindrod International Journal of Forecasting 30 (2), 246-256, 2014 | 176 | 2014 |
| A refined parametric model for short term load forecasting N Charlton, C Singleton International Journal of Forecasting 30 (2), 364-368, 2014 | 143 | 2014 |
| Spectral analysis of the Stromlo-APM Survey—I. Spectral properties of galaxies L Tresse, S Maddox, J Loveday, C Singleton Monthly Notices of the Royal Astronomical Society 310 (1), 262-280, 1999 | 111 | 1999 |
| Determining the veracity of rumours on Twitter G Giasemidis, C Singleton, I Agrafiotis, JRC Nurse, A Pilgrim, C Willis, ... International Conference on Social Informatics, 185-205, 2016 | 77 | 2016 |
| A peak reduction scheduling algorithm for storage devices on the low voltage network M Rowe, T Yunusov, S Haben, C Singleton, W Holderbaum, B Potter IEEE Transactions on Smart Grid 5 (4), 2115-2124, 2014 | 73 | 2014 |
| In the mood: the dynamics of collective sentiments on Twitter N Charlton, C Singleton, DV Greetham Royal Society Open Science 3 (6), 160162, 2016 | 27 | 2016 |
| A genetic algorithm approach for modelling low voltage network demands G Giasemidis, S Haben, T Lee, C Singleton, P Grindrod Applied Energy 203, 463-473, 2017 | 23 | 2017 |
| Graph-based algorithms for comparison and prediction of household-level energy use profiles N Charlton, DV Greetham, C Singleton 2013 IEEE International Workshop on Inteligent Energy Systems (IWIES), 119-124, 2013 | 13 | 2013 |
| Moncae: Multi-objective neuroevolution of convolutional autoencoders D Dimanov, E Balaguer-Ballester, C Singleton, S Rostami arXiv preprint arXiv:2106.11914, 2021 | 11 | 2021 |
| Mathematical solutions for electricity networks in a low carbon future S Haben, M Rowe, DV Greetham, P Grindrod, W Holderbaum, B Potter, ... 22nd International Conference and Exhibition on Electricity Distribution …, 2013 | 11 | 2013 |
| Forecasting for battery storage: choosing the error metric C Singleton, P Grindrod Energies 14 (19), 6274, 2021 | 3 | 2021 |
| On minimum cost local permutation problems and their application to smart meter data N Charlton, DV Greetham, C Singleton University of Reading, Tech. Rep. Mathematics Report Series 2, 2013, 2013 | 3 | 2013 |
| Intracellular signalling during bacterial chemotaxis MJ Tindall, PK Maini, JP Armitage, C Singleton, A Mason Practical Systems Biology, 175-188, 2008 | 1 | 2008 |
| MEOW-Multi-Objective Evolutionary Weapon Detection D Dimanov, C Singleton, S Rostami, E Balaguer-Ballester International Conference on Automated Machine Learning, 5/1-20, 2023 | | 2023 |
| MEOW:-Automatic Evolutionary Multi-Objective Concealed Weapon Detection D Dimanov, C Singleton, S Rostami, E Balaguer-Ballester MLResearchPress 224, 5, 2023 | | 2023 |
| RAMOSS-Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution D Dimanov, C Singleton, S Rostami, E Balaguer-Ballester UK Workshop on Computational Intelligence, 526-538, 2022 | | 2022 |
| A probabilistic framework for forecasting household energy demand profiles N Charlton, S Haben, P Grindrod, D Greetham, C Singleton | | 2014 |
| Click to edit Master title style D Greetham, N Charlton, S Haben, C Singleton | | |
Stephen HabenUniversity of OxfordVerified email at maths.ox.ac.uk
