Authors: Fadhila Azzahra ; Rahma Wahdiniwaty
DOI: 10.1063/5.0255654
Abstract:
The purpose of this research is to build an intelligent system of control and monitoring of electrical energy at home and to find out the amount of efficiency that can be achieved after implementing a control and monitoring system of daily electrical energy at home. The use of electrical at home is a waste of energy which of course is often not realized by the users. Even though, this is caused by the many uses of electronic devices at home that must be used and live continuously, for example: the use of lights, water heater, Air Conditioners (AC) and others. Although these devices can be set up and work automatically, automatic devices only rely on time and condition variables. To save energy more efficient, homes need to be equipped with intelligent systems that can be control and turn on electronic devices only when needed. The method that will be applied in this research is by combining fuzzy logic and the integration of Artificial Neural Network (ANN). Besides that, this system will be built using the concept of IoT (Internet of Things). The result of this research is produced an IoT device for intelligent Controlling and Monitoring of Electrical Energy with fuzzy logic and ANN methods. This current research is developing an ESP32-based smart device for the internet of things that can be used to monitor and control electrical energy using fuzzy logic and Artificial Neural Network (ANN) methods. However, current research has found that this device can improve energy consumption at home by 28-37%. © 2025 Author(s).
Author Keywords:
Artificial Neural Network; Energy Saving; Fuzzy Logic; Internet of Things
This article can be accessed at https://www.scopus.com/pages/publications/85219185646