Danica Vukadinovic GreethamSenior Research Fellow
My aim is to to create new ways to model, predict and understand human behaviour using methods from mathematics, statistics, computing and social sciences.
Keys: network analysis, data analytics, modelling and prediction of human behaviour, social media analysis, smart grids, individual demand forecast
Vukadinovic Greetham, D. and Hattam, L. (2018) Green neighbourhoods: the role of big data in low voltage networks' planning, in eds. Emrouznejad, Ali and Charles, Vincent, Big Data for the Greater Good, 42, pp. 151-169
Giasemidis, G. and Vukadinovic Greetham, D. (2018) Optimising Parameters in Recurrence Quantification Analysis of Smart Energy Systems, Workshop: IASC â€" 2nd Workshop on Intelligent Applications in Smart Cities at The 9th International Conference on Information, Intelligence, Systems and Applications (IISA 2018), Zakynthos, Greece
Hattam, L. and Vukadinovic Greetham, D. (2018) Energy Disaggregation for SMEs using Recurrence Quantification Analysis, Workshop: Energy disaggregation, Energy data analysis, RQA, SMEs energy efficiency at e-Energy '18 Proceedings of the Ninth International Conference on Future Energy Systems, Karlsruhe, Germany, pp. 610-617
Hattam, L. and Vukadinovic Greetham, D. (2018) An innovation diffusion model of a local electricity network that is influenced by internal and external factors, Physica A: Statistical Mechanics and its Applications, 490, pp. 353â€"365