Considering the increasing electrical energy demand in residences, it is necessary to know the detailed pattern of electricity use, to change the behavior of the final consumer and to reduce the global consumption. Knowing the load curve profile in advance is very important for detecting the peaks and valleys to change habits of energy consumption, principally during periods when the prices are lower, i.e., following the electrical power industry opportunities. This work studies how the consumer behaves individually, as well as identifies similarities with other consumers. Thus, we herein propose a procedure for obtaining the residential load profile using fuzzy-logic theory. As the residential electrical energy consumption is highly correlated to the active occupation, the quantity of dwellers and the different periods of the day for typical consumers are considered. However, the ideas presented in this work can be applied to other regions in different countries. To verify the efficiency of the proposed system, the obtained results are compared with real load curves.

中文翻译：

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使用模糊逻辑理论的电气客户档案

考虑到住宅中日益增长的电能需求，有必要了解用电的详细模式，改变最终消费者的行为并减少全球消耗。提前了解负载曲线对于检测高峰和低谷以改变能源消费习惯非常重要，主要是在价格较低的时期，即跟随电力行业的机会。这项工作研究了消费者的个人行为，以及识别与其他消费者的相似之处。因此，我们在此提出了一种使用模糊逻辑理论获得住宅负荷曲线的程序。由于住宅电能消耗与活跃职业高度相关，考虑了典型消费者的居民数量和一天中的不同时段。然而，这项工作中提出的想法可以应用于不同国家的其他地区。为了验证所提出系统的效率，将获得的结果与实际负载曲线进行比较。