Abstract:
Technology has been developing every day in human life. The need for the advancement of technology is to lead human life comfortable. The use of Internet of Things is changing the face of development in all sectors of human life and it can be used for successful implementation of energy efficient buildings and hence lead to total reduction of electrical energy consumption in different aspect of human life. Due to presence and an increase in smart home technology it has led to increase of the need of intelligent learning of the inhabitant’s and detecting their activities such as security, energy efficient automation, resource management. However, uses of IoT has not been effectively utilized in many developing countries in Africa where energy is not properly used for the domestic and other purposes. Power consumption has become a great problem due to inefficient use of appliances and unreliable occupancy detection. Therefore to provide the specified solution different smart sensors are installed in a house to automate the house and to detect motion and occupational of inhabitant in the room/house so that to make sure there is energy efficient. The energy usage is recorded and support vector machine (SVM) algorithm is used to predict the future usage of energy. The evaluation results of the system show that the proposed systems provide a smart home with energy efficient compared to the non-smart house energy system and thus the recommendations for smart house for household in developing countries in Africa.
Keywords: IoT, Smart Home, Energy Efficient, Energy Consumption Prediction.
