Modelling complex human-based industrial systems

Lewis, James R. (2016) Modelling complex human-based industrial systems. Masters by Research by Publication, Queensland University of Technology.

Abstract

This thesis is a case study in modelling a complex human-based industrial system which addresses the problem of network peak demand for electricity by residential customers. The study demonstrates the importance of designing interventions aimed at reducing peak demand that take into account the interactions of the various elements of the system. Available data from industry-specific and public sources was combined with data from relevant expert opinion through a Bayesian network (BN) approach. Applying the BN to investigate various market-based and government interventions provided insights into the major influencing factors in the system.

Impact and interest:

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ID Code: 95884
Item Type: QUT Thesis (Masters by Research by Publication)
Supervisor: Mengersen, Kerrie & Buys, Laurie
Keywords: Bayesian networks, Complex systems, Energy use by households, Human-based industrial systems, Network peak demand, Quantified socio-technical systems
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 17 Jun 2016 05:49
Last Modified: 17 Jun 2016 05:49

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