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WHOLESALE POWER PRICE PREDICTION SYSTEM AND WHOLESALE POWER PRICE PREDICTION METHOD

机译:批发电价预测系统和批发电价预测方法

摘要

PROBLEM TO BE SOLVED: To improve accuracy of predicting a wholesale power price.SOLUTION: A wholesale power price prediction system selects, on the basis of an attribute prediction value being a prediction value of attribute on the prediction object day and a decision tree showing a relation between the attribute and a plurality of clusters, an object cluster corresponding to the attribute prediction value from among the plurality of clusters, selects one specific prediction system from among a plurality of prediction systems on the basis of the object cluster and prediction system switching information, and calculates a time-series wholesale power price on the prediction object day as a time series prediction value using the specific prediction system according to a plurality of time-series actual values on the observation days.SELECTED DRAWING: Figure 2
机译:解决的问题:提高预测批发电价的准确性。解决方案:批发电价预测系统基于作为目标对象的属性的预测值的属性预测值和显示属性和多个聚类之间的关系,与多个聚类中的属性预测值相对应的对象聚类,基于对象聚类和预测系统切换信息从多个预测系统中选择一个特定的预测系统,然后使用特定的预测系统,根据观察日的多个时间序列实际值,将预测对象日的时间序列批发价作为时间序列预测值进行计算。图2

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