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首页> 外文期刊>Electric power systems research >Analysis of dynamic Cournot learning models for generation companies based on conjectural variations and forward expectation
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Analysis of dynamic Cournot learning models for generation companies based on conjectural variations and forward expectation

机译：基于猜想变化和前瞻期望的发电公司动态古诺特学习模型分析

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Electricity spot markets generally operate on an hourly basis; under this condition GENCOs can closely observe their competitors' market behavior. For this purposes, a detailed dynamic model is one of the tools used by GENCOs to understand the behavioral variations of competitors over time. The required abilities to rapidly adjust one's own decision-making create a need for new learning procedures and models. Conjectural variations (CV) have been proposed as a learning approach. In this paper a model based on forward expectations (FE) is proposed as a learning approach, and through illustrative examples it is shown that the market equilibria found by the CV model are also obtained by the FE model.
机译：电力现货市场通常按小时运行；在这种情况下，GENCO可以密切观察其竞争对手的市场行为。为此，详细的动态模型是GENCO用来了解竞争对手随时间变化的工具之一。快速调整自己的决策所需的能力导致了对新学习程序和模型的需求。已经提出了猜想变异（CV）作为一种学习方法。本文提出了一种基于前向期望（FE）的模型作为一种学习方法，并通过举例说明，通过CV模型发现的市场均衡也可以通过FE模型获得。

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