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Electricity rate menu estimation device, electricity rate menu estimation method, and electricity rate menu estimation program

机译:电费菜单估计装置,电费菜单估计方法和电费菜单估计程序

摘要

PROBLEM TO BE SOLVED: To provide an electricity charge menu estimation device capable of accurately estimating an electricity charge menu with lower economic load, an electricity charge estimation method and an electricity charge menu estimation program.SOLUTION: The electricity charge menu estimation device has an acquisition part, a training data extraction part, a sample data extraction part and an estimation part. The training data extraction part extracts training data from pieces of purchased electric energy data acquired by the acquisition part. The sample data extraction part extracts sample data to be used for estimation of an electricity charge menu from pieces of purchased electric energy data having characteristics common to the piece of purchased electric energy data extracted as the training data among the pieces of purchased electric energy data acquired by the acquisition part. The estimation part performs machine learning on the basis of the training data, and estimates an electricity charge menu presenting a relatively cheep electricity charge from a plurality of electricity charge menus by using the result of the machine learning and the sample data.SELECTED DRAWING: Figure 2
机译:要解决的问题:提供一种能够准确地估计经济负荷较低的电费菜单的电费菜单估计装置,电费估计方法和电费菜单估计程序。解决方案:电费菜单估计装置具有获取功能。部分,训练数据提取部分,样本数据提取部分和估计部分。训练数据提取部从由获取部获取的购买的电能数据中提取训练数据。样本数据提取部从所获取的购买电能数据中,从具有与作为训练数据而提取出的所获取的电能数据相同的特征的所购电能数据中,提取用于估计电费菜单的样本数据。由收购部分。估计部基于训练数据进行机器学习,并使用机器学习的结果和样本数据,从多个电费菜单中估计表示相对便宜的电费的电费菜单。 2

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