Danica Vukadinovic Greetham

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Thomas ErlebachProfessor, Department of Computer Science, Durham UniversityVerified email at durham.ac.uk
Stephen HabenUniversity of OxfordVerified email at maths.ox.ac.uk
Abhijit SenguptaSurrey Business SchoolVerified email at surrey.ac.uk
Peter Grindrod CBEMathematical Institute, OxfordVerified email at maths.ox.ac.uk
Bob HurlingVisiting Professor at Cranfield University and Anglia-Ruskin UniversityVerified email at virginmedia.com
Polly HuangNational Taiwan UniversityVerified email at ntu.edu.tw
Jonathan A. WardUniversity of LeedsVerified email at leeds.ac.uk
Iqbal AdjaliHead of Advanced Analytics - Imperial Brands PlcVerified email at physics.org
Laura HattamUniversity of BathVerified email at bath.ac.uk
Marina Della GiustaProfessor of Economics, University of TurinVerified email at unito.it
Alessandro PanconesiComputer Science - Sapienza, University of RomeVerified email at di.uniroma1.it
Sylvia JaworskaProfessor of Language and Professional CommunicationVerified email at reading.ac.uk
Frits SpieksmaTU EindhovenVerified email at tue.nl
Mark ConnerPsychology, University of LeedsVerified email at leeds.ac.uk
Jason R.C. NurseReader in Cyber Security, University of KentVerified email at kent.ac.uk
Ioannis AgrafiotisComputer Science Department, University of OxfordVerified email at cs.ox.ac.uk
Ewan ColmanUniversity of BristolVerified email at ed.ac.uk
Tamsin E. LeeSwiss Tropical and Public Health InstituteVerified email at swisstph.ch
Desmond HighamProfessor of Mathematics, University of EdinburghVerified email at ed.ac.uk
Luis M. A. BettencourtUniversity of Chicago. Ecology & Evolution, Sociology. External Professor, Santa Fe InstituteVerified email at uchicago.edu

Danica Vukadinovic Greetham

Capgemini Engineering, Hybrid Intelligence

Verified email at capgemini.com

network analysis behavioural analytics electric demand prediction


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	178	2014
Review of low voltage load forecasting: Methods, applications, and recommendations S Haben, S Arora, G Giasemidis, M Voss, DV Greetham Applied Energy 304, 117798, 2021	117	2021
To reduce and not to reduce resource consumption? That is two questions J Richetin, M Perugini, M Conner, I Adjali, R Hurling, A Sengupta, ... Journal of Environmental Psychology 32 (2), 112-122, 2012	101	2012
On the spectrum and structure of Internet topology graphs D Vukadinović, P Huang, T Erlebach Innovative Internet Computing Systems: Second International Workshop, IICS …, 2002	89	2002
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	78	2016
Forecasting and assessing risk of individual electricity peaks M Jacob, C Neves, D Vukadinović Greetham Springer Nature, 2020	65	2020
Short term load forecasting M Jacob, C Neves, D Vukadinović Greetham, M Jacob, C Neves, ... Forecasting and Assessing Risk of Individual Electricity Peaks, 15-37, 2020	57	2020
A spectral analysis of the Internet topology D Vukadinović, P Huang, T Erlebach TIK Report 118, 2001	51	2001
A micro-level simulation for the prediction of intention and behavior J Richetin, A Sengupta, M Perugini, I Adjali, R Hurling, D Greetham, ... Cognitive Systems Research 11 (2), 181-193, 2010	50	2010
Expert communication on Twitter: Comparing economists’ and scientists’ social networks, topics and communicative styles M Della Giusta, S Jaworska, D Vukadinović Greetham Public understanding of science 30 (1), 75-90, 2021	42	2021
Cuts and disjoint paths in the valley-free path model of Internet BGP routing T Erlebach, A Hall, A Panconesi, D Vukadinović Workshop on Combinatorial and Algorithmic Aspects of Networking, 49-62, 2004	42	2004
Long term individual load forecast under different electrical vehicles uptake scenarios A Poghosyan, DV Greetham, S Haben, T Lee Applied energy 157, 699-709, 2015	34	2015
Social networks and positive and negative affect DV Greetham, R Hurling, G Osborne, A Linley Procedia-Social and Behavioral Sciences 22, 4-13, 2011	33	2011
Green neighbourhoods in low voltage networks: measuring impact of electric vehicles and photovoltaics on load profiles L Hattam, DV Greetham Journal of Modern Power Systems and Clean Energy 5 (1), 105-116, 2017	32	2017
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
Memory and burstiness in dynamic networks ER Colman, D Vukadinović Greetham Physical Review E 92 (1), 012817, 2015	24	2015
An overview of city analytics DJ Higham, M Batty, LMA Bettencourt, DV Greetham, P Grindrod Royal Society Open Science 4 (2), 161063, 2017	20	2017
Price-based call admission control in a single DiffServ domain C Chhabra, T Erlebach, B Stiller, D Vukadinović TIK Report 135, 2002	17	2002
Connectivity measures for internet topologies on the level of autonomous systems T Erlebach, LS Moonen, FCR Spieksma, D Vukadinović Operations research 57 (4), 1006-1025, 2009	15	2009
New results for path problems in generalized stars, complete graphs, and brick wall graphs T Erlebach, D Vukadinović International Symposium on Fundamentals of Computation Theory, 483-494, 2001	15	2001

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