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Forecasting hourly electricity prices for bidding optimization

机译:预测小时电价以优化出价

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This paper presents a model for the prediction of hourly day-ahead prices in the Nordic electricity market. The aim is to make a model suited for scenario generation for stochastic optimization of bids for a hydro power producer. Hourly prices are estimated through panel data methodology, and the analysis shows that most external explanation factors should have hour-specific coefficients.
机译:本文提供了一个预测北欧电力市场中按小时计算的日间提前定价的模型。目的是建立一个适合情景生成的模型,以随机优化水电生产商的投标。每小时价格是通过面板数据方法估算的,分析表明,大多数外部解释因素应具有特定于每小时的系数。

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