Biography
Dr. Ramon Granell is a researcher at the Oxford e-Research Centre currently working as a knowledge engineer in the Data Readiness Group with Professor Susanna-Assunta Sansone in the area of data management in science.
He applies data analytic techniques, including ML, to enrich the data of the FAIRsharing platform. FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies.
Ramon has been working at the Oxford e-Research Centre since 2010, investigating in different areas such as energy analytics and computational linguistics. Before that, he worked at Department of Computer Science, University of Oxford. He holds a Computer Science degree and ML master from the Universidad Politecnica de Valencia (Spain) and a PhD in energy analytics from Brunel University London.
Awards and Achievements
Granted research proposals
EPSRC Impact Acceleration Account. Modelling and prediction of the energy demand of stores using data-driven approaches. 2017-2018
Best poster exhibition prize
Granell, R.; Axon, C.J.; Kolokotroni, M.; Wallom, D.C.H.; "Does the London urban heat island affect electricity consumption of small supermarkets?" Manchester Energy and Electrical Power Systems "Big Data Applications in Power Systems" Workshop. Manchester (UK), 2017
Best poster award
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.
Most Recent Publications
The FAIR Cookbook - the essential resource for and by FAIR doers
The FAIR Cookbook - the essential resource for and by FAIR doers
The FAIR Cookbook - the essential resource for and by FAIR doers.
The FAIR Cookbook - the essential resource for and by FAIR doers.
A reduced-dimension feature extraction method to represent retail store electricity profiles
A reduced-dimension feature extraction method to represent retail store electricity profiles
Predicting electricity demand profiles of new supermarkets using machine learning
Predicting electricity demand profiles of new supermarkets using machine learning
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data
Research Interests
Data analytics and machine learning techniques applied to different areas such as energy, linguistics and data management.
Projects
- EPSRC Impact Acceleration Account Modelling and prediction of the energy demand of stores using data-driven approaches. 2017-2018
- Wordovators project (John Templeton Foundation) 2016-2017
- EPSRC-funded WICKED project (Working with Infrastructure Creation of Knowledge and Energy strategy Development) 2014-2016
- EPSRC-funded ADEPT project (Advanced Dynamic Energy Pricing and Tariffs). 2010-2014
- EU-Funded Companions project (Companions: Intelligent, Persistent, Personalised Multimodal Interfaces to the Internet). 2007-2010
Research Groups
Related Academics
Most Recent Publications
The FAIR Cookbook - the essential resource for and by FAIR doers
The FAIR Cookbook - the essential resource for and by FAIR doers
The FAIR Cookbook - the essential resource for and by FAIR doers.
The FAIR Cookbook - the essential resource for and by FAIR doers.
A reduced-dimension feature extraction method to represent retail store electricity profiles
A reduced-dimension feature extraction method to represent retail store electricity profiles
Predicting electricity demand profiles of new supermarkets using machine learning
Predicting electricity demand profiles of new supermarkets using machine learning
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data
Selected Publications
- Granell, R.; Axon, C.J.; Kolokotroni, M.; Wallom, D.C.H; "A data-driven approach for electricity load profile prediction of new supermarkets"; 2nd International Conference on Sustainable Energy & Resource Use in Food Chains, Paphos (Cyprus), 2018
- Pierrehumbert J.; Granell R.; "On hapax legomena and morphological productivity''; CoNLL–SIGMORPHON 2018, Brussels (Belgium), 2018
- Granell, R.; Axon, C.J.; Kolokotroni, M.; Wallom, D.C.H; "Using existing building stock to predict the electricity load profiles of new supermarkets". Energy Systems Conference 2018, London (UK), 2018
- Granell, R.; Axon, C.J.; Kolokotroni, M.; Wallom, D.C.H.; "Does the London urban heat island affect electricity consumption of small supermarkets?" Manchester Energy and Electrical Power Systems "Big Data Applications in Power Systems" Workshop. Manchester (UK), 2017
- Granell, R.; Wallom D.C.H.; Janda, K.B.; Patrick J.; Bright S.; "Quantifying the impact of green leasing on energy use in a retail portfolio: limits to big data analytics" In: Proceedings of European Council for an Energy-Efficient Economy Summer Study. Presqu'ile de Giens (France), 2017
- 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. DOI: http://dx.doi.org/10.1016/j.biombioe.2016.01.012
- 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
Most Recent Publications
The FAIR Cookbook - the essential resource for and by FAIR doers
The FAIR Cookbook - the essential resource for and by FAIR doers
The FAIR Cookbook - the essential resource for and by FAIR doers.
The FAIR Cookbook - the essential resource for and by FAIR doers.
A reduced-dimension feature extraction method to represent retail store electricity profiles
A reduced-dimension feature extraction method to represent retail store electricity profiles
Predicting electricity demand profiles of new supermarkets using machine learning
Predicting electricity demand profiles of new supermarkets using machine learning
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data