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The Power of Weather: Some Empirical Evidence on Predicting Day-ahead Power Prices through Day-ahead Weather Forecasts

机译:天气的力量:通过日前天气预报预测日前电价的一些经验证据

摘要

In the literature the effects of weather on electricity sales are well-documented. However, studies that have investigated the impact of weather on electricity prices are still scarce (e.g. Knittel and Roberts, 2005), partly because the wholesale power markets have only recently been deregulated. We introduce the weather factor into well-known forecasting models to study its impact. We find that weather has explanatory power for the day-ahead power spot price. Using weather forecasts improves the forecast accuracy, and in particular new models with power transformations of weather forecast variables are significantly better in term of out-of-sample statistics than popular mean reverting models. For different power markets, such as Norway, Eastern Denmark and the Netherlands, we build specific models. The dissimilarity among these models indicates that weather forecasts influence not only the demand of electricity but also the supply side according to different electricity producing methods.
机译:在文献中,天气对电力销售的影响已得到充分证明。但是,有关天气对电价影响的调查研究仍然很少(例如Knittel和Roberts,2005年),部分原因是批发电力市场只是最近才放宽了管制。我们将天气因素引入知名的预测模型以研究其影响。我们发现天气对日间现货价格具有解释力。使用天气预报可以提高天气预报的准确性,特别是在天气预报样本变量的幂转换的新模型方面,样本外统计数据要比流行的均值回复模型好得多。对于不同的电力市场,例如挪威,丹麦东部和荷兰,我们建立了特定的模型。这些模型之间的差异表明,天气预报不仅会影响电力需求,而且会根据不同的发电方式影响供电方。

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