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Stochastic energy market equilibrium modeling with multiple agents

Sammendrag

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.

Om publikasjonen

Forfattere:

Brekke, K.A., R. Golombek, M. Kaut, S.A.C. Kittelsen, S.W. Wallace

År:

2017

Tidsskrift:

Energy

Serie:

Vitenskapelige tidsskrift

JEL:

C63; C68; D58; D81; Q28; Q40; Q54

Nøkkelord:

Uncertainty; Stochastic equilibrium; Monte Carlo; Energy modeling

Prosjekt:

3148 - Uncertainties in the European Energy Market: Modelling Approaches and policy issues

Lenke:

[DOI]