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Agent based modeling has the further advantage of not being completely deterministic in its formulation.
Rule based modeling has the potential to speed up the computational analysis processes involved with pathway simulations and should be explored further as we develop compartmentalized models.
All three alternative EOF based models have almost the same accuracy.
A number of building physics based models have been developed in the past and some of the notable include Building Research Establishment's Housing Model for Energy Studies (Shorrock and Dunster, 1997); UK Domestic Carbon Model (Boardman et al. 2005) and Community Domestic Energy Model (Firth et al. 2010).
Several building physics based models have been developed in the UK over a number of years to estimate the current and future residential demand.
Over the years, several hydrological models ranging from empirical relationships to physically based models have been developed for the prediction of runoff and sediment yield.
As significant responder bias and limitations to the reliability of the information given by the surveyed authors were evident, the results from the survey based models have to be interpreted with caution.
A two step identification procedure is proposed by exploiting the fact that the GOBF based models have output error structure.
Agent based models have successfully been applied for the petrochemical industry, e.g. for supply chain problems.
Physically based models have been developed to analyze the impacts of preferential water flow (PF) and physical non-equilibrium (PNE) solute transport on soil and water resources.
Computer based models have become an indispensable means for the planning, optimisation and operation of industrial manufacturing systems.
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