Ramon Granell

Research Associate

01865 610614

I am a Research Assistant at the Oxford e-Research Centre working on the WICKED project (http://www.energy.ox.ac.uk/wicked/).  My research interests are broadly in the application of machine learning and data mining in the area of energy. One of my current main research topics is the clustering of electricity load profiles with both Bayesian and frequenstist algorithms. I have also worked in analysing and predicting which businesses would obtain economic benefit when they change from static tariffs to dynamic tariff. I previously worked in statistical pattern recognition techniques applied to computational linguistics.

Recent journal publications:

Miranda, N.D.; Granell, R.; Tuomisto, H.L.; McCulloch M.; "Meta-analysis of methane yields from anaerobic digestion of dairy cattle manure." Biomass and Bioenergy, Vol. 86:pp 65-75, 2016

Granell, R.; Axon, C.J.; Wallom, D.C.H.; Layberry, R.L.; "Power-Use profile analysis of non-domestic premises for electricity tariff switching." Energy Efficiency, Vol 9(3):pp 825-841, 2016. DOI: http://dx.doi.org/10.1007/s12053-015-9404-9

Granell, R.; Axon, C.J.; Wallom, D.C.H.; "Clustering disaggregated load profiles using a Dirichlet process mixture model." Energy Conversion and Management, Vol 92: pp. 507-516, 2015. DOI: http://dx.doi.org/10.1016/j.enconman.2014.12.080

Granell, R.; Axon, C.J.; Wallom, D.C.H.; "Impacts of raw data temporal resolution using selected clustering methods on residential electricity load profiles." IEEE Trans. Power Systems, Vol 30(6): pp.3217-3224, 2015.DOI: http://dx.doi.org/10.1109/TPWRS.2014.2377213

Granell, R.; Axon, C.J.; Wallom, D.C.H.; "Predicting winning and losing businesses when changing electricity tariffs." Applied Energy, 133(C):298-307, 2014. DOI: http://dx.doi.org/10.1016/j.apenergy.2014.07.098

Recent conference publications:

Granell, R.; Axon, C.J.; Janda, K. B.; Wallom, D.C.H.; "Does the London urban heat island affect electricity consumption of small supermarkets?" Energy Systems Conference 2016, London (UK), 2016

Granell, R.; Axon, C.J.; Wallom, D.C.H.; "Which British SME might benet from electricity dynamic taris?" Energy Systems Conference 2016, London (UK), 2016

Granell, R.; Axon, C.J.; Wallom, D.C.H.; "Feature extraction to characterise and cluster the energy demand of UK retail premises". In:Adjunct Proceedings of the 29th International Conference on Informatics for Environmental Protection and the 3rd International Conference on ICT for Sustainability,, pp 223-225 Copenhagen (Denmark), 2015

Janda, K. B.; Patrick J.; Granell R.; Bright S.; Wallom D.; Layberry R. "A WICKED approach to retail sector energy management." In: Proceedings of European Council for an Energy-Efficient Economy Summer Study, Vol 1: pp. 185-195, Presqu'ile de Giens (France), 2015

Granell, R.; Axon, C.J.; Wallom, D.C.H.; "A Dirichlet process mixture model for clustering of household electricity load profiles." In: 9th International Conference on Machine Learning and Data Mining, Poster Proceedings, pp 1-6 New York (USA), 2013. (Winner of the Best Poster Award)