Journal ArticleDOI
Short Term Crude Oil Pricing: Simulation of a Global Energy System in the Discrete Modelling Environment
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In this paper, the authors describe a small model of a part of the oil logistics system and then analyze the output of the model compared to the spot price of Brent crude using a series of tests developed in the non linear dynamics area.About:
This article is published in IFAC Proceedings Volumes.The article was published on 1995-07-01. It has received 1 citations till now. The article focuses on the topics: Brent Crude & Volatility (finance).read more
Citations
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Complex supply chains: analysis of a beer distribution game simulation output
Roger Jenkins,Geoff Breach +1 more
TL;DR: The particular model discussed in this paper was used to develop a range of timeseries data streams, and techniques drawn from the chaos, or non linear, timeseres analysis area have been used to visualise and analyse the data.
References
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Journal ArticleDOI
Determining Lyapunov exponents from a time series
TL;DR: In this article, the authors present the first algorithms that allow the estimation of non-negative Lyapunov exponents from an experimental time series, which provide a qualitative and quantitative characterization of dynamical behavior.
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Measuring the Strangeness of Strange Attractors
TL;DR: In this paper, the correlation exponent v is introduced as a characteristic measure of strange attractors which allows one to distinguish between deterministic chaos and random noise, and algorithms for extracting v from the time series of a single variable are proposed.
Journal ArticleDOI
Predicting chaotic time series
TL;DR: An error estimate is presented for this forecasting technique for chaotic data, and its effectiveness is demonstrated by applying it to several examples, including data from the Mackey-Glass delay differential equation, Rayleigh-Benard convection, and Taylor-Couette flow.
Book
Computer simulation in management science
TL;DR: This new edition of Mike Pidd's Visual interactive modeling systems updates to focus more attention on system dynamics as a result of increasing interest in this area.
Book
Chaos and order in the capital markets
TL;DR: The chaos and order in the capital markets is well known book in the world, of course many people will try to own it as mentioned in this paper, why don't you become the first? Still confused with the way?