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Tag: Smart Home Energy Management

  • A Smart Home Architecture for Energy Conservation and Multiple Energy Source Management

    A Smart Home Architecture for Energy Conservation and Multiple Energy Source Management

    Authors: Indra Kurniawan ; Irfan Dwiguna Sumitra

    DOI: 10.37934/araset.31.2.101116

    Abstract:

    Smart home architecture has been widely applied in energy conservation efforts by improving control and monitoring of energy use. Energy conservation efforts can be made by controlling energy consumption and accommodating other energy sources that are environmentally friendly or renewable. Renewable energy sources can now be built quickly and affordably, for example, solar panels. This study aims to build a smart home architecture that prioritizes energy conservation and managing multiple energy sources. The method used in this research is applying the Fuzzy Multi-criteria Decision Making model and Artificial Neural Network embedded in the Single Board Computer and ESP8266 system with the Internet of Things concept. This research results in an intelligent hardware architecture and software system that can be controlled via a smartphone or PC for energy-saving efforts increasing awareness of energy use and managing multiple energy sources that are affordable and easy to implement at home. © 2023, Penerbit Akademia Baru. All rights reserved.

    Author Keywords:

    Artificial Neural Network; energy conservation; Esp8266; Fuzzy Multi-Criteria Decision Making; Internet of Things; multiple energy source management; Smart Home


    This article can be accessed at https://www.scopus.com/pages/publications/85168135926

  • A Modular Intelligent System for Energy Saving Using Fuzzy Logic and Artificial Neural Network Based on the Concept of Internet of Things

    A Modular Intelligent System for Energy Saving Using Fuzzy Logic and Artificial Neural Network Based on the Concept of Internet of Things

    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