Low Voltage Daily Energy Demand Temperature Dependent Representation by Using Circular Statistics
Low Voltage Daily Energy Demand Temperature Dependent Representation by Using Circular Statistics作者机构：Departamento de Electrónica-FCEFyN-Universidad Nacional de Córdoba Córdoba Argentina FTyCA-Universidad Nacional de Catamarca San Fernando del Valle de Catamarca Argentina Center for Neuroscience University of California at Davis-EEUU Davis Argentina
出 版 物：《Applied Mathematics》 (应用数学（英文）)
年 卷 期：2019年第10卷第3期
页 面：61-74页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Distribution Transformers Charge Estimation Time Series Dynamic Process Circular Statistics
摘 要：In this work, a tool that allows visualizing the probability of the power demand according to the temperature and the hours of the day is presented. This aim contributes to the decision making support for the transformer and its service administration. The objective is to represent the demand accurately as a color statistical map based on two variables: the time of day and the ambient temperature. Since the daily energy consumption is periodic regarding the hours of the day in terms of several days, its representation with Gaussian models becomes difficult, but it is simplified when working with circular statistics. The circular statistics used here is the Von Mises distribution, which has the parameters mean address and kappa concentration. Results obtained from measurements made over a year in a medium-voltage transformer with intervals of 60 minutes are shown.
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