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The Australian Electricity Market's pre-dispatch process: Some observations on its efficiency using ordered probit model

机译:澳大利亚电力市场的预发行过程:使用有序概率模型的效率的一些观察

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Many market participants in Australia Electricity Market had cast doubts on whether the pre-dispatch process in the electricity market is able to give them good and timely quantity and price information. In a study by [ 11], they observed a significant bias (mainly indicating that the pre-dispatch process tends to underestimate spot price outcomes), a seasonality features of the bias across seasons and/or trading periods and changes in bias across the years in our sample period (1999 to 2007). In a formal setting of an ordered probit model we establish that there are some exogenous variables that are able to explain increased probabilities of over- or under-predictions of the spot price. It transpires that meteorological data, expected pre-dispatch prices and information on past over- and under-predictions contribute significantly to explaining variation in the probabilities for over- and under-predictions. The results allow us to conjecture that some of the bids and re-bids provided by electricity generators are not made in good faith.
机译:澳大利亚电力市场的许多市场参与者对电力市场的预发货过程能够提供良好和及时的数量和价格信息。在[11]的一项研究中,他们观察到了一个显着的偏见(主要表明派遣过程倾向于低估了现货价格结果),季节偏差的季节性特征和/或偏差周围的交易期间在我们的样本期(1999年至2007年)中。在订购概率模型的正式设置中,我们确定存在一些外源性变量,能够解释现货价格的过度或预测的增加的概率。它归还了气象数据,预期的派遣价格和过去,预测的预测的信息贡献显着,以解释过度和预测的概率的变化。结果允许我们召集电力发电机提供的一些出价和重新出价不是诚信所致的。

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