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This dissertation proposes an embedded system compatible with electronic power meters, which simulates the billing of White Tariff, according to load profile of customers and compares it with the typical one. The system assists in the decision making of customers, regarding the best tariff modality, as there are doubts regarding the operation of new tariff models. The system is composed by embedded system and API Service. The main objective of this work is to develop an efficient method of recording the demand curve for low voltage customers, aimed at simulating hourly rates, in order to show the economy provided through the best tariff framework. The proposed system was designed focusing in low cost components, applying the embedded system development methods for building the solution through open source development platforms such as NodeMCU, KiCad, C++ language, PHP language, MySql and Android Studio.

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