Voudouris, V and Di Maio, C (2010): The ACEGES 1.0 Documentation: Simulated Scenarios of Conventional Oil Production. Published in: CIBS Working Papers Series (5 August 2010)
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Abstract
he ACEGES (Agent-based Computational Economics of the Global Energy System) 1.0 model is an agent-based model of conventional oil production for 93 countries. The model accounts for four key uncertainties, namely Estimated Ultimate Recovery (EUR), estimated growth in oil demand, estimated growth in oil production and assumed peak/decline point. This documentation provides an overview of the ACEGES model capabilities and an example of how it can be used for long-term (discrete and continuous) scenarios of conventional oil production.
Item Type: | MPRA Paper |
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Original Title: | The ACEGES 1.0 Documentation: Simulated Scenarios of Conventional Oil Production |
Language: | English |
Keywords: | oil production, ACEGES, agent-based model, energy scenarios, oil forecasting |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General |
Item ID: | 24269 |
Depositing User: | Vlasios voudouris |
Date Deposited: | 09 Aug 2010 10:16 |
Last Modified: | 26 Sep 2019 13:47 |
References: | Voudouris, Vlasios and Di Maio, Carlo, The ACEGES 1.0 Documentation: Simulated Scenarios of Conventional Oil Production (August 5, 2010). Centre for International Business and Sustainability (London Metropolitan Business School): Working Paper 12, London, UK.. Available at SSRN:http://ssrn.com/paper=1652361 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/24269 |