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Peer-Olaf Siebers
Peer-Olaf Siebers
Assistant Professor, School of Computer Science, The University of Nottingham
Verified email at cs.nott.ac.uk - Homepage
Title
Cited by
Cited by
Year
Discrete-event simulation is dead, long live agent-based simulation!
PO Siebers, CM Macal, J Garnett, D Buxton, M Pidd
Journal of Simulation 4 (3), 204-210, 2010
5632010
Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development
M Ranjbari, ZS Esfandabadi, MC Zanetti, SD Scagnelli, PO Siebers, ...
Journal of cleaner production 297, 126660, 2021
3592021
Humans: The missing link in manufacturing simulation?
T Baines, S Mason, PO Siebers, J Ladbrook
Simulation Modelling Practice and Theory 12 (7), 515-526, 2004
1772004
Modelling electricity consumption in office buildings: An agent based approach
T Zhang, PO Siebers, U Aickelin
Energy and Buildings 43 (10), 2882-2892, 2011
1582011
Introduction to multi-agent simulation
PO Siebers, U Aickelin
Encyclopedia of Decision Making and Decision Support Technologies, 554-564, 2008
1392008
A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK
T Zhang, PO Siebers, U Aickelin
Energy and People: Futures, Complexity and Challenges, Oxford, UK, 2011
842011
Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer
GP Figueredo, PO Siebers, MR Owen, J Reps, U Aickelin
PloS one 9 (4), e95150, 2014
812014
Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis
TH Tran, Y Mao, P Nathanail, PO Siebers, D Robinson
Omega 85, 156-165, 2019
752019
On the multi-agent stochastic simulation of occupants in buildings
J Chapman, PO Siebers, D Robinson
Journal of Building Performance Simulation 11 (5), 604-621, 2018
672018
'One Size Does Not Fit All': A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models
A Ligmann-Zielinska, PO Siebers, N Magliocca, DC Parker, V Grimm, ...
Journal of Artificial Societies and Social Simulation 23 (1), 1-6, 2020
512020
Enhancing productivity: The role of management practices
PO Siebers, U Aickelin, G Battisti, H Celia, CW Clegg, X Fu, R De Hoyos, ...
AIM Working Paper Series, 2008
47*2008
Worker performance modeling in manufacturing systems simulation: Proposal for an agent-based approach
PO Siebers
Handbook of Research on Nature Inspired Computing for Economics and …, 2006
42*2006
Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface
M Ranjbari, Z Shams Esfandabadi, SD Scagnelli, PO Siebers, F Quatraro
Environment, Development and Sustainability 23, 16646-16673, 2021
402021
Towards generalized co-simulation of urban energy systems
K Wang, PO Siebers, D Robinson
Procedia engineering 198, 366-374, 2017
372017
A first approach on modelling staff proactiveness in retail simulation models
PO Siebers, U Aickelin
Journal of Artificial Societies and Social Simulation 14 (2), 2011
372011
Comparing simulation output accuracy of discrete event and agent based models: A quantitive approach
MA Majid, U Aickelin, PO Siebers
2009 Summer Computer Simulation Conference (SCSC09), Istanbul, Turkey, 2009
352009
Identifying heavy goods vehicle driving styles in the united kingdom
GP Figueredo, U Agrawal, JMM Mase, M Mesgarpour, C Wagner, D Soria, ...
IEEE Transactions on Intelligent Transportation Systems 20 (9), 3324-3336, 2018
332018
A multi-agent simulation of retail management practices
PO Siebers, U Aickelin, H Celia, CW Clegg
2007 Summer Computer Simulation Conference (SCSC07), San Diego (CA), USA …, 2007
332007
Using intelligent agents to understand management practices and retail productivity
PO Siebers, U Aickelin, H Celia, CW Clegg
2007 Winter Simulation Conference (WSC07), Washington DC, USA, 2212-2220, 2007
332007
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
T Zhang, PO Siebers, U Aickelin
Technological Forecasting and Social Change 106, 74-84, 2016
302016
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