Abstract In this work, the representativeness of the day-types classified according to the solar radiation features by two classification methods is evaluated from the perspective of the production of two parabolic trough plants. A new methodology to characterize the representativeness of the day-types using a novel index is proposed, based on the characterization of the daily production. As a previous step to the use of a classification method, the evaluation methodology helps to select the most adequate model and to improve it from the perspective of a concentrated solar power project. This methodology is applied to 16 years of measurements from Seville (Spain) classified by two methods: a method based on daily clearness index values (kt), and a method that uses clustering techniques to define the day-types. From the application of the methodology to the clustering classification some improvements are identified and applied. As a result, from the 10 day-types identified by the clustering classification method a new classification based on 8 day-types with different features for each type of plant is proposed. The use of this classification to estimate the daily yield outperforms the results obtained with the kt classification, with a mean yearly RMSE value more than 20% lower.

中文翻译：

---

从抛物槽式光热电站生产角度评价太阳辐射特征分类方法

摘要 本文从两个抛物槽型电站生产的角度，对两种分类方法根据太阳辐射特征进行分类的日型的代表性进行了评价。在表征日产量的基础上，提出了一种使用新指数表征日类型代表性的新方法。作为使用分类方法的前一步，评估方法有助于选择最合适的模型并从聚光太阳能项目的角度对其进行改进。该方法应用于来自塞维利亚（西班牙）的 16 年测量，分为两种方法：一种基于每日晴朗指数值 (kt) 的方法，以及一种使用聚类技术来定义日期类型的方法。从该方法的应用到聚类分类，一些改进被识别和应用。因此，从聚类分类方法识别的10天类型中，提出了一种基于8天类型的新分类，每种类型的植物具有不同的特征。使用这种分类来估计日产量优于使用 kt 分类获得的结果，年均 RMSE 值低 20% 以上。