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Assessing historical reliability of the agent-based model of the global energy system
Authors:Anna Shchiptsova  Jiangjiang Zhao  Arnulf Grubler  Arkady Kryazhimskiy  Tieju Ma
Institution:1.International Institute for Applied Systems Analysis,Laxenburg,Austria;2.East China University of Science and Technology,Shanghai,China;3.School of Forestry and Environmental Studies,Yale University,New Haven,USA;4.Steklov Mathematical Institute,Russian Academy of Sciences,Moscow,Russia
Abstract:This study looks at the historical reliability of the agent-based model of the global energy system. We present a mathematical framework for the agent-based model calibration and sensitivity analysis based on historical observations. Simulation consistency with the historical record is measured as a distance between two vectors of data points and inference on parameter values is done from the probability distribution of this stochastic estimate. Proposed methodology is applied to the model of the global energy system. Some model properties and limitations followed from calibration results are discussed.
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