Inferring Models for Subsystems Based on Real World Traces
Rutger Kerkhoff, AleÅ¡ Tavcar, BoÅ¡tjan Kaluza
Electronic Devices, Vol. 8, No. 2, 2019.
DOI: https://doi.org/10.6025/ed/2019/8/2/43-49
Link: http://www.dline.info/ed/fulltext/v8n2/edv8n2_3.pdf
Abstract:
Creating simulations for smart cities is a complex and time consuming task. In this paper we show that using
traditional Bayesian networks and real world data traces it is possible to infer models that can simulate the original domain.
The created model can provide great insight into the actual subsystems that are considered. We show that given a set of
observed values we can successfully use the created model to simulate data and show trends present in the original system.