Open AccessSmart Home System for Energy Saving using Genetic- Fuzzy-Neural Networks Approach
Publication year - 2016
Publication title -
international journal of sustainable water and environmental systems
Language(s) - English
Resource type - Journals
ISSN - 1923-7545
DOI - 10.5383/swes.8.01.006
Subject(s) - home automation , computer science , artificial neural network , fuzzy logic , genetic algorithm , fuzzy control system , energy (signal processing) , smart grid , control (management) , artificial intelligence , engineering , machine learning , telecommunications , statistics , mathematics , electrical engineering
Home energy saving is very important to realize sustainable improvement. This can be achieved by designing a smart home system that provides a productive and cost-effective environment through optimization of different factors that will be explained in this paper. In this paper, an adaptive smart home system for optimal utilization of power will be designed. The system is based on genetic-fuzzy-neural networks technique, which can capture a human behavior patterns and use it to predict the user's mood. This technique will improve the intelligence of the smart home control to minimize the power losses.