期刊
ENERGY
卷 134, 期 -, 页码 984-990出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2017.06.056
关键词
Uncertainty; Stochastic equilibrium; Monte Carlo; Energy modeling
资金
- Research Council of Norway
- RENERGI program under the Research Council of Norway
- ENERGIX program under the Research Council of Norway
The energy markets are characterized by many agents simultaneously solving decision problems under uncertainty. It is argued that Monte Carlo simulations are not an adequate way to assess behavioral uncertainty; one should rather rely on stochastic modelling. Drawing on economics, decision theory and operations research, a simple guide on how to transform a deterministic energy market equilibrium model - where several agents simultaneously make decisions - into a stochastic equilibrium model is offered. With our approach, no programming of a stochastic solution algorithm is required. (C) 2017 Published by Elsevier Ltd.
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